subject:(personalization systems)

University of California – San Diego

1. Verma, Chetan Kumar. Enabling Automated and Efficient Personalization Systems.

Degree: Electrical Engineering (Computer Engineering), 2015, University of California – San Diego

URL: http://www.escholarship.org/uc/item/8tq2c9xn

► Information explosion and the increasing use of Internet have fueled the growing popularity of personalization systems. Such systems can understand user interests to customize the… (more)

▼ Information explosion and the increasing use of Internet have fueled the growing popularity of personalization systems. Such systems can understand user interests to customize the information served to them, thereby addressing information overload. At the same time, personalization systems can also enable service and content providers to serve targeted advertisements and recommendations to users. In order to operate on the massive scales of the number of users and the amount of data available, personalization systems have a crucial requirement for automation and efficiency. In this dissertation, we identify key challenges faced by personalization systems and provide solutions to address them such that the above requirements can be achieved. We first note that content classification is an important component of personalization systems. Approaches to train classification models typically depend on manual collection and labeling of training data, which makes personalization non-scalable. To address this, we develop a completely automated framework that can provide labeled training data for arbitrary set of categories. Experiments using online videos demonstrate the feasibility and effectiveness of our approach. The second key challenge we address is the sparsity in annotations of popular online content such as Flickr images. Sparse or missing tags hamper the ability of personalization systems to recommend content or to infer the interests of users that access them. Towards this, we show how ontological tag trees can be constructed from corpus based statistics and semantic relationships between tags, to alleviate tag sparsity in a space efficient manner. Through evaluations, we demonstrate the effectiveness and efficiency of ontological tag trees as compared to existing methods. Lastly, we focus on alleviating information overload in enterprise repositories. We design a file metadata based recommendation system that captures per user access patterns and user collaboration to recommend new files. In order to address scalability concerns of per user modeling, we propose optimizations that significantly reduce the time to serve recommendations to users. Experiments over actual enterprise data show that more than two orders of speed up is obtained as a result of the proposed methods.

Subjects/Keywords: Computer science; automation; classification; efficiency; personalization systems; recommendation systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Verma, C. K. (2015). Enabling Automated and Efficient Personalization Systems. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/8tq2c9xn

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Verma, Chetan Kumar. “Enabling Automated and Efficient Personalization Systems.” 2015. Thesis, University of California – San Diego. Accessed January 17, 2021. http://www.escholarship.org/uc/item/8tq2c9xn.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Verma, Chetan Kumar. “Enabling Automated and Efficient Personalization Systems.” 2015. Web. 17 Jan 2021.

Vancouver:

Verma CK. Enabling Automated and Efficient Personalization Systems. [Internet] [Thesis]. University of California – San Diego; 2015. [cited 2021 Jan 17]. Available from: http://www.escholarship.org/uc/item/8tq2c9xn.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Verma CK. Enabling Automated and Efficient Personalization Systems. [Thesis]. University of California – San Diego; 2015. Available from: http://www.escholarship.org/uc/item/8tq2c9xn

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

UCLA

2. Hsieh, Cheng-kang. Small Data Systems.

Degree: Computer Science, 2016, UCLA

URL: http://www.escholarship.org/uc/item/2rd9m1r2

► A myriad of digital services mediate our daily lives. As a result, we are continuously generating digital traces, referred to as small data, that can… (more)

Subjects/Keywords: Computer science; immersive recommendations; mobile health; personalization; recommendation systems; small data

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APA (6^th Edition):

Hsieh, C. (2016). Small Data Systems. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/2rd9m1r2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hsieh, Cheng-kang. “Small Data Systems.” 2016. Thesis, UCLA. Accessed January 17, 2021. http://www.escholarship.org/uc/item/2rd9m1r2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hsieh, Cheng-kang. “Small Data Systems.” 2016. Web. 17 Jan 2021.

Vancouver:

Hsieh C. Small Data Systems. [Internet] [Thesis]. UCLA; 2016. [cited 2021 Jan 17]. Available from: http://www.escholarship.org/uc/item/2rd9m1r2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsieh C. Small Data Systems. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/2rd9m1r2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

3. Gong, B. (author). Contextual Personalized Re-Ranking of Music Recommendations through Audio Features Based User Preference Models.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:f0cd6b41-b314-4c03-8dcd-d751c11c80ce

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With advancements in Internet and technology, it has become increasingly easy for people to enjoy music. Users are able to access millions of songs through… (more)

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With advancements in Internet and technology, it has become increasingly easy for people to enjoy music. Users are able to access millions of songs through music streaming services like Spotify, Pandora, and Deezer. Access to such large catalogs created a need for relevant song recommendations. Music recommender systems assist users in finding the most relevant songs by consistently matching them with the user’s preference. Accurately representing these preferences is essential to creating accurate and effective song recommendations. User preferences are highly subjective in nature and change according to context (e.g., music that is suitable for running is not suitable for relaxing). Preferences for songs can be based on characteristics of high level audio features, such as tempo and valence. This thesis proposes a new contextual re-ranking algorithm, which belongs to the group of contextual post-filtering techniques, to leverage users’ contextual information. The algorithm uses two models, a global and personalized model, to model user preferences. These models use audio features to represent user preference in specific contextual conditions. The algorithm is able to re-rank any given music recommendation list. First, we analyze the correlation between audio features and contextual conditions. This analysis shows that the correlations are significant, thus audio features are suitable for representing user preference in contextual conditions. Thereafter, we implement and evaluate the re-ranking algorithm using accuracy metrics on theNowPlaying-RS and InCarMusic datasets, using various initial recommender algorithms. Results show there is merit in applying such a re-ranking algorithm to increase recommendation accuracy. The personalized model, given enough historical data, consistently outperforms the global model.

Computer Science | Data Science and Technology

Advisors/Committee Members: Tintarev, N. (mentor), Houben, G.J.P.M. (graduation committee), Liem, C.C.S. (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Music Recommender Systems; Contextual Post-Filtering; Audio Features; Personalization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gong, B. (. (2020). Contextual Personalized Re-Ranking of Music Recommendations through Audio Features Based User Preference Models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f0cd6b41-b314-4c03-8dcd-d751c11c80ce

Chicago Manual of Style (16^th Edition):

Gong, B (author). “Contextual Personalized Re-Ranking of Music Recommendations through Audio Features Based User Preference Models.” 2020. Masters Thesis, Delft University of Technology. Accessed January 17, 2021. http://resolver.tudelft.nl/uuid:f0cd6b41-b314-4c03-8dcd-d751c11c80ce.

MLA Handbook (7^th Edition):

Gong, B (author). “Contextual Personalized Re-Ranking of Music Recommendations through Audio Features Based User Preference Models.” 2020. Web. 17 Jan 2021.

Vancouver:

Gong B(. Contextual Personalized Re-Ranking of Music Recommendations through Audio Features Based User Preference Models. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:f0cd6b41-b314-4c03-8dcd-d751c11c80ce.

Council of Science Editors:

Gong B(. Contextual Personalized Re-Ranking of Music Recommendations through Audio Features Based User Preference Models. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:f0cd6b41-b314-4c03-8dcd-d751c11c80ce

Northeastern University

4. Hannak, Aniko. Personalization in online services measurement, analysis, and implications.

Degree: PhD, Computer Science Program, 2016, Northeastern University

URL: http://hdl.handle.net/2047/D20235425

► Since the turn of the century more and more of people's information consumption has moved online. The increasing amount of online content and the competition… (more)

▼ Since the turn of the century more and more of people's information consumption has moved online. The increasing amount of online content and the competition for attention has created a need for services that structure and filter the information served to consumers. Competing companies try to keep their customers by finding the most relevant and interesting information for them. Thus, companies have started using algorithms to tailor content to each user specifically, called personalization. These algorithms learn the users' preferences from a variety of data; content providers often collect demographic information, track user behavior on their website or even on third party websites, or turn to data brokers for personal data. This behavior has created a complex ecosystem in which users are unaware of what data is collected about them and how it is used to shape the content that they are served.; In most cases personalization is useful for the users but there have been articles in the press with worrying examples of price discrimination or the Filter Bubble Effect. While this has triggered some awareness among the general public, it also made users realize how little control they have over their data and the form of the web they are presented. Meanwhile legal scholars and policy makers expressed concerns about algorithms' power to systematize biases and reduce accountability. Unfortunately, detecting the negative consequences or measuring large-scale effects is in practice very challenging, as we still lack the tools and techniques for it.; My work starts with developing a methodology that will allow me to investigate person- alization on any chosen content-based web service. With the help of this methodology I measure personalization on several services in two large sectors, search engines and e-commerce sites.; In my investigation about search engines I find that, on average, 11.7% of results show differences due to personalization on Google, while 15.8% of results are personalized on Bing, but that this varies widely by search query and by result ranking. I also investigate the user features used to personalize on Google Web Search and Bing. Surprisingly, I only find measurable personalization as a result of searching with a logged-in account and the IP address of the searching user.; Next, to further investigate location-based personalization, I design a new tool that is able to send queries to the Google Search API appearing to come from any given GPS coordinate. Assessing the relationship between location and personalization is crucial, since users' geolocation can be used as a proxy for other demographic traits, like race, income, educational attainment, and political affiliation. Using this methodology, I collect 30 days of search results from Google Search in response to 240 different queries. By comparing search results gathered from 59 GPS coordinates around the US at three different granularities (county, state, and national), I am able to observe that differences in search results due to personalization…

Subjects/Keywords: online measurement; personalization; price discrimination; Adaptive computing systems; Web personalization; Web search engines; Internet searching; Algorithms; Price discrimination; Mathematical models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hannak, A. (2016). Personalization in online services measurement, analysis, and implications. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20235425

Chicago Manual of Style (16^th Edition):

Hannak, Aniko. “Personalization in online services measurement, analysis, and implications.” 2016. Doctoral Dissertation, Northeastern University. Accessed January 17, 2021. http://hdl.handle.net/2047/D20235425.

MLA Handbook (7^th Edition):

Hannak, Aniko. “Personalization in online services measurement, analysis, and implications.” 2016. Web. 17 Jan 2021.

Vancouver:

Hannak A. Personalization in online services measurement, analysis, and implications. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/2047/D20235425.

Council of Science Editors:

Hannak A. Personalization in online services measurement, analysis, and implications. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20235425

Universidade do Rio Grande do Sul

5. Cavalcanti, Anna de Carvalho. Jornalismo cultural e personalização: o acionamento do perito nas capas da revista Bravo! (1997-2013).

Degree: 2016, Universidade do Rio Grande do Sul

URL: http://hdl.handle.net/10183/133747

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Esta dissertação tem como objetivo identificar de que forma a revista Bravo! (1997-2013) acionou o sujeito perito na capa, espaço emblemático de consagração. Compreendemos o… (more)

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Esta dissertação tem como objetivo identificar de que forma a revista Bravo! (1997-2013) acionou o sujeito perito na capa, espaço emblemático de consagração. Compreendemos o jornalismo como sendo capaz de estabelecer hierarquias, conceder visibilidade e prestígio, estabelecendo, assim, o que deve ser lido, visto e assistido, ou seja, o que é relevante, de acordo com seus critérios. O jornalismo cultural, enquanto especialidade jornalística, reafirma também seu lugar de suposto sistema perito, a partir da confiança do leitor, silenciando ou consolidando valores culturais a partir de seus locais de maior visibilidade, como as capas de revista. Entendendo esse espaço como um lugar consagrado e consagrante, voltamos nosso olhar a quem nele se destaca, sujeitos que resguardam uma suposta excelência técnica e valores canônicos. Com o aporte da Análise de Conteúdo (AC), realizamos um mapeamento das 192 edições da revista, verificando o conteúdo das capas a partir da definição de segmento (música, cinema, literatura, artes visuais, teatro e dança), pessoas contempladas na primeira página, temática e gancho temporal jornalístico, o que resultou em uma panorâmica editorial sobre os principais temas e sujeitos abordados. A partir dessa primeira visada, delimitamos o corpus de 124 capas em que constam somente pessoas. A análise panorâmica mostrou que música foi o segmento mais personalizado, seguido por livros, cinema, teatro, artes visuais e dança. Além disso, percebemos que a lógica do evento, gancho jornalístico de maior incidência, tende a se vincular com pessoas que já possuem prestígio em seu campo de atuação. Junto à descrição quantitativa por segmento cultural, partimos para a leitura qualitativa em profundidade de onze capas que representam tendências do conjunto. Os resultados indicam que, enquanto instância de legitimação desses peritos, Bravo! se utilizou de critérios editoriais específicos para escolher a personalidade de capa, agregando para si os valores associados de quem elegeu, seguindo a lógica da personalização. Ao criar um espaço consagratório em sua primeira página, a revista reafirma a encenação do superlativo, que articula a imagem do rosto, as chamadas, o título e o nome da publicação, como uma forma de acionamento do perito.

The aim of this thesis is to identify how Bravo! (1997-2013) operated the expert in its cover, an emblematic space of consecration. We understand journalism as being able to establish hierarchies, provide visibility and prestige, establishing what should be read, seen and watched, that is, what is important according to its criteria. Cultural journalism, as journalistic specialty, also claims its place of supposed expert system, based on the reader’s confidence, silencing or consolidating cultural values from their places of higher visibility, as magazine covers. Understanding this place as a consecrated and consecrating space, we turn our gaze to whom it stands out, people who keep a supposed technical excellence and canonical values. Through Content Analysis (CA) theory, we…

Advisors/Committee Members: Golin, Cida.

Subjects/Keywords: Bravo! (Revista); Cultural journalism; Jornalismo cultural; Magazine journalism; Capa de revista; Personalization; Expert systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cavalcanti, A. d. C. (2016). Jornalismo cultural e personalização: o acionamento do perito nas capas da revista Bravo! (1997-2013). (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/133747

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cavalcanti, Anna de Carvalho. “Jornalismo cultural e personalização: o acionamento do perito nas capas da revista Bravo! (1997-2013).” 2016. Thesis, Universidade do Rio Grande do Sul. Accessed January 17, 2021. http://hdl.handle.net/10183/133747.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cavalcanti, Anna de Carvalho. “Jornalismo cultural e personalização: o acionamento do perito nas capas da revista Bravo! (1997-2013).” 2016. Web. 17 Jan 2021.

Vancouver:

Cavalcanti AdC. Jornalismo cultural e personalização: o acionamento do perito nas capas da revista Bravo! (1997-2013). [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10183/133747.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cavalcanti AdC. Jornalismo cultural e personalização: o acionamento do perito nas capas da revista Bravo! (1997-2013). [Thesis]. Universidade do Rio Grande do Sul; 2016. Available from: http://hdl.handle.net/10183/133747

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Northeastern University

6. Chen, Zhengxing. Recommendation Systems For Influencing Player Competence And Engagement In Match-based Games.

Degree: PhD, 2018, Northeastern University

URL: http://hdl.handle.net/2047/D20316238

► For years, video games have garnered the attention of people worldwide, providing a unique environment for entertainment, education, scientific problem solving, promotion of health awareness,… (more)

▼ For years, video games have garnered the attention of people worldwide, providing a unique environment for entertainment, education, scientific problem solving, promotion of health awareness, and socialization. With the increase of video games' popularity, a critical question arises: how do we keep a player engaged? In this dissertation, I focused on increasing player engagement, where I define engagement as the continued desire to play a game repeatedly during one session or over a longer period of time. I proposed three recommendation systems targeting different types of in-game elements. I focused on online match-based games, where players competitively play against others. Further, I focused on recommendations in the pre-match stage. My hypothesis is that the recommendation systems I developed will increase player engagement by giving players the ability to make informed choices concerning in-game elements, such as which characters to play as, which items to equip, or which opponents to play against. My theoretical foundation for this work is based on two psychological theories that have shaped understanding of player sustained engagement in games: Self Determination Theory and Flow Theory. In such theories, scholars have shown that competence, or the ability of a player to feel competent given the tasks they are doing within the game, has a direct relation to sustained engagement, or the desire to play the game repeatedly. Additionally, Flow theory describes a state of 'flow' where players are sufficiently challenged, where the task they are doing is neither too easy or too hard. Based on these theories, the recommendation systems I proposed recommend in-game elements to players that influence their in-game choices, and subsequently will have an impact on the way they play, competence they perceive, and eventually their engagement. To develop these recommendation systems, I explored two related research questions. The first is concerned with how to develop effective and efficient recommendation systems that can recommend in-game elements that will have a winning potential for players, in both one-vs-one and team-vs-team settings. Targeting this question allows us to focus on developing experiences that are not frustratingly hard for players, and thus help increase their winnings. It should be noted that these systems can also work in reverse, meaning they can also suggest items that make players lose. The second research question is concerned with studying how to balance win/loss ratio of matches through designing in-game element recommendation systems which directly improve player engagement in relation to win/loss ratio and its impact on the churn rate. For the first research question I proposed two systems: (a) Q-DeckRec, a recommendation system for one-vs-one Collectible Card Games (CCGs). In these types of games, the player often starts with a deck of cards of their choice. Q-DeckRec recommends winning-effective decks. This system presents a novel approach to search a large space of possible card decks…

Subjects/Keywords: engagement; flow; personalization; recommendation systems; self-determination theory; video games; Computer science; Artificial intelligence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, Z. (2018). Recommendation Systems For Influencing Player Competence And Engagement In Match-based Games. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20316238

Chicago Manual of Style (16^th Edition):

Chen, Zhengxing. “Recommendation Systems For Influencing Player Competence And Engagement In Match-based Games.” 2018. Doctoral Dissertation, Northeastern University. Accessed January 17, 2021. http://hdl.handle.net/2047/D20316238.

MLA Handbook (7^th Edition):

Chen, Zhengxing. “Recommendation Systems For Influencing Player Competence And Engagement In Match-based Games.” 2018. Web. 17 Jan 2021.

Vancouver:

Chen Z. Recommendation Systems For Influencing Player Competence And Engagement In Match-based Games. [Internet] [Doctoral dissertation]. Northeastern University; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/2047/D20316238.

Council of Science Editors:

Chen Z. Recommendation Systems For Influencing Player Competence And Engagement In Match-based Games. [Doctoral Dissertation]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20316238

Delft University of Technology

7. Dingjan, Mitchell (author). Exploring Exploration in Recommender Systems: Where? How Much? For Whom?.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb

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Recommender systems focus on automatically surfacing suitable items for users from digital collections that are too large for the user to oversee themselves. A considerable… (more)

Subjects/Keywords: Recommender Systems; Exploration; Personalization; Filtering; User Preferences; Taste Broadening; Multi-Armed Bandits

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Dingjan, M. (. (2020). Exploring Exploration in Recommender Systems: Where? How Much? For Whom?. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb

Chicago Manual of Style (16^th Edition):

Dingjan, Mitchell (author). “Exploring Exploration in Recommender Systems: Where? How Much? For Whom?.” 2020. Masters Thesis, Delft University of Technology. Accessed January 17, 2021. http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb.

MLA Handbook (7^th Edition):

Dingjan, Mitchell (author). “Exploring Exploration in Recommender Systems: Where? How Much? For Whom?.” 2020. Web. 17 Jan 2021.

Vancouver:

Dingjan M(. Exploring Exploration in Recommender Systems: Where? How Much? For Whom?. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb.

Council of Science Editors:

Dingjan M(. Exploring Exploration in Recommender Systems: Where? How Much? For Whom?. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb

University of Oulu

8. Korhonen, O. (Olli). Service pathway personalization in digital health services.

Degree: 2020, University of Oulu

URL: http://urn.fi/urn:isbn:9789526227689

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Abstract Information technology (IT) is a primary enabler of personalization. Various personalization approaches are used to design and implement personalization in technologies and to classify… (more)

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Abstract Information technology (IT) is a primary enabler of personalization. Various personalization approaches are used to design and implement personalization in technologies and to classify personalization through technologies. Still, personalization studies rarely consider personalization and the role of IT more holistically at the level of digital services. The objective of this thesis is to investigate the role of IT in the personalization of digital health service pathways. The present work applies a service pathway concept as it provides the means by which to consider all the available health services to be included for the individual healthcare user in the context of digital health services. This thesis is framed in information systems (IS) and specifically IS in healthcare. The present work investigates the role of IT in the personalization of digital health service pathways through a multiple-case study approach. The data collected are thematically analyzed to provide understanding on the role IT can play in the personalization of digital health service pathways. As a result of the thematic analysis, this thesis proposes personalization filters that represent the role of IT in the personalization of digital health service pathways. The personalization filters are as follows: (1) the contextual filter, where the role of IT is to consider the healthcare-specific parameters for personalization; (2) the data-driven filter, where the role of IT is to consider the aggregated data parameters for personalization; and (3) the user-specific filter, where the role of IT is to consider the characteristics and preferences of the healthcare user as parameters for personalization. In these personalization filters, IT plays a role that varies from fully automated personalization to a more collaborative form of data-driven decision making to make digital health service pathways more personalized for the individual healthcare user. The work undertaken in this thesis contributes to research and practice by proposing personalization filters that can collectively represent the roles IT can play in the personalization of digital health service pathways.

Tiivistelmä Personoinnin suunnittelussa voidaan hyödyntää erilaisia lähestymistapoja ja luokituksia. Tietojärjestelmätieteissä nämä lähestymistavat ja luokitukset keskittyvät personoinnin suunnitteluun pääasiassa teknologisen artefaktin, kuten suosittelujärjestelmän, tasolla. Suunnittelu ei niinkään tarkastele personointia ja teknologian roolia kokonaisvaltaisemmin digitaalisten palveluiden tasolla. Tämä tietojärjestelmätieteiden väitöskirja tarkastelee teknologian roolia digitaalisten terveyspalvelupolkujen personoinnissa. Väitöskirja hyödyntää palvelupolun käsitettä, sen mahdollistaessa personoinnin laajemman tarkastelun teknologisen artefaktin sijaan. Väitöskirja tarkastelee tutkittavaa ilmiötä monitapaustutkimuksen kautta ja hyödyntää laadullisia menetelmiä aineiston keräämisessä ja analysoinnissa. Temaattisen analyysin tuloksena väitöskirja esittää kolme personoinnin…

Advisors/Committee Members: Isomursu, M. (Minna), Väyrynen, K. (Karin).

Subjects/Keywords: digital health; information systems; personalization; service pathways; digitaalinen terveys; palvelupolku; personointi; tietojärjestelmät

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Korhonen, O. (. (2020). Service pathway personalization in digital health services. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789526227689

Chicago Manual of Style (16^th Edition):

Korhonen, O (Olli). “Service pathway personalization in digital health services.” 2020. Doctoral Dissertation, University of Oulu. Accessed January 17, 2021. http://urn.fi/urn:isbn:9789526227689.

MLA Handbook (7^th Edition):

Korhonen, O (Olli). “Service pathway personalization in digital health services.” 2020. Web. 17 Jan 2021.

Vancouver:

Korhonen O(. Service pathway personalization in digital health services. [Internet] [Doctoral dissertation]. University of Oulu; 2020. [cited 2021 Jan 17]. Available from: http://urn.fi/urn:isbn:9789526227689.

Council of Science Editors:

Korhonen O(. Service pathway personalization in digital health services. [Doctoral Dissertation]. University of Oulu; 2020. Available from: http://urn.fi/urn:isbn:9789526227689

9. Γλαρούδης, Δημήτριος. Τεχνολογίες πληροφορικής και επικοινωνιών στη συνεργατική μάθηση μέσω κινητών συσκευών.

Degree: 2012, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών

URL: http://hdl.handle.net/10442/hedi/28481

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The evolution of Internet and multimedia services has lead to interesting applications in education. Nevertheless, the acquisition of knowledge presupposes the existence of computers and… (more)

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The evolution of Internet and multimedia services has lead to interesting applications in education. Nevertheless, the acquisition of knowledge presupposes the existence of computers and internet access. Most times, however, owning or using a computer with a reliable Internet connection can be an important restriction for learners. Mobile communication technologies can overcome such restrictions, and prepare learners for more flexible training environments. Because of economic realities, educators are compelled to consider new delivery strategies and approaches to developing lifelong learners. Recent discussions of higher education would seem to portray a view that the aims of higher education are consistent with the demands of working life. Development of personal skills by learners includes interaction of theoretical and practical knowledge, communication and cooperation skills, added by the ability to manage information and flexibility to work in different contexts or conditions. However, Internet users often cope with difficulties such as distraction, lost-in-space syndrome and cognitive overhead, when trying to acquire and access learning material. Additionally, mobile learners are highly goal-driven when they search information on educational sites. Thus, it is essential to improve browsing usability for mobile learners with less effort and frustration, and, more important, by saving browsing time. By knowing how learners gather web information and choose their navigation paths, recommendation systems can be modeled and partially automate and predict learners' steps, thus improving learning material discovery and simplifying management. The main topic addressed in this work is to propose an architecture aiming to reduce mobile users' effort when navigating in an educational portal and drive them to desired educational material, while gaining knowledge without spatial and temporal constraints. After tracking mobile users' preferences from preceding log records while visiting the portal and exploiting the semantics of the learning content, an online system recommends the portal's web pages with similar conceptual content.

Η παρούσα διδακτορική διατριβή εστιάζει στη μάθηση μέσω κινητών συσκευών και παρουσιάζει μια μεθοδολογία για τη βελτιστοποίηση της χρηστικότητας πλοήγησης των κινητών εκπαιδευομένων σε διαδικτυακές εκπαιδευτικές πύλες. Στην σύγχρονη εποχή, η μετάδοση της γνώσης και των πληροφοριών δεν μπορεί πλέον να περιορίζεται από εμπόδια και δυσκολίες, όπως η απόσταση ή ο χρόνος. Στην προσπάθεια των εκπαιδευτικών οργανισμών και ιδρυμάτων για την εκμετάλλευση όλων των τεχνολογικών μέσων που υπάρχουν σήμερα, δημιουργήθηκε μια νέα αλλά και πολλά υποσχόμενη τεχνολογία, η τεχνολογία του m-learning. Στόχος της είναι η αξιοποίηση των ΤΠΕ αρχικά, και του διαδικτύου ειδικότερα, για τη βελτίωση της ποιότητας της παρεχόμενης εκπαίδευσης, αλλά και την επέκταση της προσβασιμότητας σε μεγαλύτερο αριθμό πιθανών υποψήφιων εκπαιδευομένων. Επιπλέον, το ενδιαφέρον μας στο συγκεκριμένο ερευνητικό πεδίο δικαιολογείται από τη…

Subjects/Keywords: Κινητή μάθηση; Σημασιολογία περιεχομένου; Εξατομίκευση; Συστήματα συστάσεων; Mobile learning; Content semantics; Personalization; Recommendation systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Γλαρούδης, . �. (2012). Τεχνολογίες πληροφορικής και επικοινωνιών στη συνεργατική μάθηση μέσω κινητών συσκευών. (Thesis). University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Retrieved from http://hdl.handle.net/10442/hedi/28481

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Γλαρούδης, Δημήτριος. “Τεχνολογίες πληροφορικής και επικοινωνιών στη συνεργατική μάθηση μέσω κινητών συσκευών.” 2012. Thesis, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Accessed January 17, 2021. http://hdl.handle.net/10442/hedi/28481.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Γλαρούδης, Δημήτριος. “Τεχνολογίες πληροφορικής και επικοινωνιών στη συνεργατική μάθηση μέσω κινητών συσκευών.” 2012. Web. 17 Jan 2021.

Vancouver:

Γλαρούδης �. Τεχνολογίες πληροφορικής και επικοινωνιών στη συνεργατική μάθηση μέσω κινητών συσκευών. [Internet] [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2012. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10442/hedi/28481.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Γλαρούδης �. Τεχνολογίες πληροφορικής και επικοινωνιών στη συνεργατική μάθηση μέσω κινητών συσκευών. [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2012. Available from: http://hdl.handle.net/10442/hedi/28481

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Reginaldo Aparecido Gotardo. Modelo I2P : recomendação de recursos baseando-se em preferências, interesses e popularidade.

Degree: 2008, Universidade Federal de São Carlos

URL: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2707

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O desenvolvimento de tecnologias que auxiliem no processo de ensinoaprendizagem é assunto discutido em várias áreas do conhecimento. A grande difusão de Sistemas Educacionais baseados… (more)

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O desenvolvimento de tecnologias que auxiliem no processo de ensinoaprendizagem é assunto discutido em várias áreas do conhecimento. A grande difusão de Sistemas Educacionais baseados nas tecnologias existentes na Web (também chamados de Sistemas Educacionais baseados na Web Web-based Educational Systems WbE-S) demonstra a popularização da educação a distância e das ferramentas de suporte a esta. O projeto Tidia-Ae, financiado pela FAPESP visa, sobretudo, o desenvolvimento de um WbE-S que possa explorar os conceitos da internet de alta velocidade. Os WbE-S, comumente, não possuem um tratamento personalizado das ações dos usuários no sistema. Assim, a oferta de recursos de personalização de sistemas visa melhorias no processo de ensino-aprendizagem através do tratamento das necessidades reais e pessoais de cada aluno. A recomendação de conteúdo é uma das possíveis técnicas para oferta de personalização. Trata-se de uma forma não intrusiva de auxiliar o processo de escolha dos usuários num sistema com grande conjunto de informações. Está técnica foi amplamente explorada e, junto com o projeto Tidia-Ae, serviu como base para a criação do modelo I2P. Este trabalho define e propõe o modelo I2P baseado em métricas de Interesses, Preferências e Popularidade obtidas no relacionamento entre os usuários e os recursos do sistema. Estas métricas fornecem o embasamento para oferta de recursos adequados às necessidades dos usuários num WbE-S. O cálculo para oferta de recomendação é realizado com a técnica de Filtragem Colaborativa e, assim, a personalização é oferecida de forma colaborativa, considerando o aprendizado em grupo.

The development of technologies that assist in the teach-learning process is an rgued subject in some areas of knowledge. The great diffusion of Web-based Educational Systems (WbE-S) has been shown the popularization of distance learning and its support tools. The Tidia-Ae project, support by FAPESP, aim at the development of a WbE-S that can use the concept about high velocity internet. But, the WbE Systems dont have a personal treatment of users necessities. So, the offers of personalization resources for systems aim at improving the teach-learning process using the treatment of real necessities of each user. The content recommendation, more specifically a recommendation system, is one of several techniques for that and it is a non-intrusive meaning of help users in a system with a lot of information. This technique was used in Tidia-Ae environment to development of this thesis. This thesis presents the I2P model based on metrics of Interests, Preferences and Popularity which are acquired by the measuring of the relationship of users and system resources. These metrics provide a form to calculate the recommendation offers of resources. The calculation is done using Collaborative Filtering technique and the personalization is offered in collaborative form, considering the group learning.

Advisors/Committee Members: Sérgio Donizetti Zorzo.

Subjects/Keywords: Sistemas de recomendação; Privacidade e personalização; Sistemas de ensino; CIENCIA DA COMPUTACAO; Recommendation systems; Personalization; Web-based education systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gotardo, R. A. (2008). Modelo I2P : recomendação de recursos baseando-se em preferências, interesses e popularidade. (Thesis). Universidade Federal de São Carlos. Retrieved from http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gotardo, Reginaldo Aparecido. “Modelo I2P : recomendação de recursos baseando-se em preferências, interesses e popularidade.” 2008. Thesis, Universidade Federal de São Carlos. Accessed January 17, 2021. http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gotardo, Reginaldo Aparecido. “Modelo I2P : recomendação de recursos baseando-se em preferências, interesses e popularidade.” 2008. Web. 17 Jan 2021.

Vancouver:

Gotardo RA. Modelo I2P : recomendação de recursos baseando-se em preferências, interesses e popularidade. [Internet] [Thesis]. Universidade Federal de São Carlos; 2008. [cited 2021 Jan 17]. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gotardo RA. Modelo I2P : recomendação de recursos baseando-se em preferências, interesses e popularidade. [Thesis]. Universidade Federal de São Carlos; 2008. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

New Jersey Institute of Technology

11. Xu, Chao. Task-based user profiling for query refinement (toque).

Degree: PhD, Information Systems, 2016, New Jersey Institute of Technology

URL: https://digitalcommons.njit.edu/dissertations/64

► The information needs of search engine users vary in complexity. Some simple needs can be satisfied by using a single query, while complicated ones… (more)

▼ The information needs of search engine users vary in complexity. Some simple needs can be satisfied by using a single query, while complicated ones require a series of queries spanning a period of time. A search task, consisting of a sequence of search queries serving the same information need, can be treated as an atomic unit for modeling user’s search preferences and has been applied in improving the accuracy of search results. However, existing studies on user search tasks mainly focus on applying user’s interests in re-ranking search results. Only few studies have examined the effects of utilizing search tasks to assist users in obtaining effective queries. Moreover, fewer existing studies have examined the dynamic characteristics of user’s search interests within a search task. Furthermore, even fewer studies have examined approaches to selective personalization for candidate refined queries that are expected to benefit from its application. This study proposes a framework of modeling user’s task-based dynamic search interests to address these issues and makes the following contributions. First, task identification: a cross-session based method is proposed to discover tasks by modeling the best-link structure of queries, based on the commonly shared clicked results. A graph-based representation method is introduced to improve the effectiveness of link prediction in a query sequence. Second, dynamic task-level search interest representation: a four-tuple user profiling model is introduced to represent long- and short-term user interests extracted from search tasks and sessions. It models user’s interests at the task level to re-rank candidate queries through modules of task identification and update. Third, selective personalization: a two-step personalization algorithm is proposed to improve the rankings of candidate queries for query refinement by assessing the task dependency via exploiting a latent task space. Experimental results show that the proposed TOQUE framework contributes to an increased precision of candidate queries and thus shortened search sessions. Advisors/Committee Members: Yi-Fang Brook Wu, Yi Chen, Zhi Wei.

Subjects/Keywords: Personalization; Search task; Search session; Search log; Interest; User profiling; Databases and Information Systems; Management Information Systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Xu, C. (2016). Task-based user profiling for query refinement (toque). (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/64

Chicago Manual of Style (16^th Edition):

Xu, Chao. “Task-based user profiling for query refinement (toque).” 2016. Doctoral Dissertation, New Jersey Institute of Technology. Accessed January 17, 2021. https://digitalcommons.njit.edu/dissertations/64.

MLA Handbook (7^th Edition):

Xu, Chao. “Task-based user profiling for query refinement (toque).” 2016. Web. 17 Jan 2021.

Vancouver:

Xu C. Task-based user profiling for query refinement (toque). [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2016. [cited 2021 Jan 17]. Available from: https://digitalcommons.njit.edu/dissertations/64.

Council of Science Editors:

Xu C. Task-based user profiling for query refinement (toque). [Doctoral Dissertation]. New Jersey Institute of Technology; 2016. Available from: https://digitalcommons.njit.edu/dissertations/64

University of Western Ontario

12. Mirbakhsh, Seyed Nima. Clustering-Based Personalization.

Degree: 2015, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/3174

► Recommendation systems have been the most emerging technology in the last decade as one of the key parts in e-commerce ecosystem. Businesses offer a wide… (more)

▼ Recommendation systems have been the most emerging technology in the last decade as one of the key parts in e-commerce ecosystem. Businesses offer a wide variety of items and contents through different channels such as Internet, Smart TVs, Digital Screens, etc. The number of these items sometimes goes over millions for some businesses. Therefore, users can have trouble finding the products that they are looking for. Recommendation systems address this problem by providing powerful methods which enable users to filter through large information and product space based on their preferences. Moreover, users have different preferences. Thus, businesses can employ recommendation systems to target more audiences by addressing them with personalized content. Recent studies show a significant improvement of revenue and conversion rate for recommendation system adopters. Accuracy, scalability, comprehensibility, and data sparsity are main challenges in recommendation systems. Businesses need practical and scalable recommendation models which accurately personalize millions of items for millions of users in real-time. They also prefer comprehensible recommendations to understand how these models target their users. However, data sparsity and lack of enough data about items, users and their interests prevent personalization models to generate accurate recommendations. In Chapter 1, we first describe basic definitions in recommendation systems. We then shortly review our contributions and their importance in this thesis. Then in Chapter 2, we review the major solutions in this context. Traditional recommendation system methods usually make a rating matrix based on the observed ratings of users on items. This rating matrix is then employed in different data mining techniques to predict the unknown rating values based on the known values. In a novel solution, in Chapter 3, we capture the mean interest of the cluster of users on the cluster of items in a cluster-level rating matrix. We first cluster users and items separately based on the known ratings. In a new matrix, we then present the interest of each user clusters on each item clusters by averaging the ratings of users inside each user cluster on the items belonging to each item cluster. Then, we apply the matrix factorization method on this coarse matrix to predict the future cluster-level interests. Our final rating prediction includes an aggregation of the traditional user-item rating predictions and our cluster-level rating predictions. Generating personalized recommendation for cold-start users, or users with only few feedback, is a big challenge in recommendation systems. Employing any available information from these users in other domains is crucial to improve their recommendation accuracy. Thus, in Chapter 4, we extend our proposed clustering-based recommendation model by including the auxiliary feedback in other domains. In a new cluster-level rating matrix, we capture the cluster-level interests between the domains to reduce the sparsity of the known ratings. By…

Subjects/Keywords: Personalization; recommendation systems; collaborative filtering; adaptive web; data mining; Artificial Intelligence and Robotics; Databases and Information Systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mirbakhsh, S. N. (2015). Clustering-Based Personalization. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3174

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mirbakhsh, Seyed Nima. “Clustering-Based Personalization.” 2015. Thesis, University of Western Ontario. Accessed January 17, 2021. https://ir.lib.uwo.ca/etd/3174.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mirbakhsh, Seyed Nima. “Clustering-Based Personalization.” 2015. Web. 17 Jan 2021.

Vancouver:

Mirbakhsh SN. Clustering-Based Personalization. [Internet] [Thesis]. University of Western Ontario; 2015. [cited 2021 Jan 17]. Available from: https://ir.lib.uwo.ca/etd/3174.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mirbakhsh SN. Clustering-Based Personalization. [Thesis]. University of Western Ontario; 2015. Available from: https://ir.lib.uwo.ca/etd/3174

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Bhargava, Preeti. Towards Proactive Context-aware Computing and Systems.

Degree: Computer Science, 2015, University of Maryland

URL: http://hdl.handle.net/1903/18112

► A primary goal of context-aware systems is delivering the right information at the right place and right time to users in order to enable them… (more)

▼ A primary goal of context-aware systems is delivering the right information at the right place and right time to users in order to enable them to make effective decisions and improve their quality of life. There are three key requirements for achieving this goal: determining what information is relevant, personalizing it based on the users’ context (location, preferences, behavioral history etc.), and delivering it to them in a timely manner without an explicit request from them. These requirements create a paradigm that we term as “Proactive Context-aware Computing”. Most of the existing context-aware systems fulfill only a subset of these requirements. Many of these systems focus only on personalization of the requested information based on users’ current context. Moreover, they are often designed for specific domains. In addition, most of the existing systems are reactive - the users request for some information and the system delivers it to them. These systems are not proactive i.e. they cannot anticipate users’ intent and behavior and act proactively without an explicit request from them. In order to overcome these limitations, we need to conduct a deeper analysis and enhance our understanding of context-aware systems that are generic, universal, proactive and applicable to a wide variety of domains. To support this dissertation, we explore several directions. Clearly the most significant sources of information about users today are smartphones. A large amount of users’ context can be acquired through them and they can be used as an effective means to deliver information to users. In addition, social media such as Facebook, Flickr and Foursquare provide a rich and powerful platform to mine users’ interests, preferences and behavioral history. We employ the ubiquity of smartphones and the wealth of information available from social media to address the challenge of building proactive context-aware systems. We have implemented and evaluated a few approaches, including some as part of the Rover framework, to achieve the paradigm of Proactive Context-aware Computing. Rover is a context-aware research platform which has been evolving for the last 6 years. Since location is one of the most important context for users, we have developed ‘Locus’, an indoor localization, tracking and navigation system for multi-story buildings. Other important dimensions of users’ context include the activities that they are engaged in. To this end, we have developed ‘SenseMe’, a system that leverages the smartphone and its multiple sensors in order to perform multidimensional context and activity recognition for users. As part of the ‘SenseMe’ project, we also conducted an exploratory study of privacy, trust, risks and other concerns of users with smart phone based personal sensing systems and applications. To determine what information would be relevant to users’ situations, we have developed ‘TellMe’ - a system that employs a new, flexible and scalable approach based on Natural Language Processing techniques to… Advisors/Committee Members: Agrawala, Ashok (advisor).

Subjects/Keywords: Computer science; Context and activity Recognition; Context-aware computing and systems; Indoor localization; Personalization and Recommender systems; Ubiquitous computing; User modeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bhargava, P. (2015). Towards Proactive Context-aware Computing and Systems. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/18112

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bhargava, Preeti. “Towards Proactive Context-aware Computing and Systems.” 2015. Thesis, University of Maryland. Accessed January 17, 2021. http://hdl.handle.net/1903/18112.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bhargava, Preeti. “Towards Proactive Context-aware Computing and Systems.” 2015. Web. 17 Jan 2021.

Vancouver:

Bhargava P. Towards Proactive Context-aware Computing and Systems. [Internet] [Thesis]. University of Maryland; 2015. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/1903/18112.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bhargava P. Towards Proactive Context-aware Computing and Systems. [Thesis]. University of Maryland; 2015. Available from: http://hdl.handle.net/1903/18112

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidade do Rio Grande do Sul

14. Lopes, Giseli Rabello. Sistema de recomendação para bibliotecas digitais sob a perspectiva da web semântica.

Degree: 2007, Universidade do Rio Grande do Sul

URL: http://hdl.handle.net/10183/10747

►

Atualmente, pesquisadores e acadêmicos têm beneficiado-se muito com o crescimento acelerado das tecnologias Web, pois os resultados de pesquisa podem ser publicados e acessados eletronicamente… (more)

▼

Atualmente, pesquisadores e acadêmicos têm beneficiado-se muito com o crescimento acelerado das tecnologias Web, pois os resultados de pesquisa podem ser publicados e acessados eletronicamente tão logo a mesma tenha sido realizada. Esta possibilidade é vantajosa na medida em que minimiza as barreiras de tempo e espaço associadas à publicação tradicional. Neste contexto, surgem as Bibliotecas Digitais como repositórios de dados que, além dos documentos digitais propriamente ditos, ou de apontadores para estes documentos, armazenam os metadados associados. Para permitir que diferentes Bibliotecas Digitais possam interoperar surgiu a Open Archives Initiative (OAI) e, para resolver a questão da padronização dos metadados utilizados pelos repositórios, foi criado o formato Dublin Core (DC). Por outro lado, a enorme quantidade de documentos digitais disponíveis na Web tem causado o fenômeno conhecido como “sobrecarga de informação”. Com o objetivo de suprir esta dificuldade, Sistemas de Recomendação têm sido propostos e desenvolvidos. Estes sistemas visam prover uma interface alternativa para tecnologias de filtragem e recuperação de informações, tendo como foco a predição daqueles itens ou partes da informação que o usuário acharia interessante e útil. Portanto, os Sistemas de Recomendação atuam baseados em personalização da informação sendo que as predições geralmente são realizadas utilizando-se um perfil de cada usuário. A personalização está relacionada com o modo pelo qual a informação e serviços podem ser ajustados às necessidades específicas de um usuário ou comunidade. Esta dissertação descreve um Sistema de Recomendação de artigos científicos, armazenados em bibliotecas digitais. Este sistema é dirigido à comunidade científica da área da Ciência da Computação. Tecnologicamente, o sistema proposto foi desenvolvido sob a perspectiva da Web Semântica, à medida que faz uso de suas tecnologias emergentes tais como: uso de metadados padrão para a descrição de documentos - Dublin Core, uso do padrão XML para a descrição do perfil do usuário - Currículo Lattes, e provedores de serviços e de dados (OAI) envolvidos no processo de geração das recomendações. Este trabalho ainda apresenta e discute alguns resultados de experimentos baseados em avaliações quantitativas e qualitativas de recomendações geradas pelo sistema.

Currently, researchers and academics have been benefited by the expressive growth of web technologies, due to the possibility of publishing and accessing research results as soon as they are achieved. This possibility is advantageous as it minimizes the time and space barriers that traditional publications present. In this context, Digital Libraries emerged as data repositories that, beyond digital documents or links to them, store associated metadata. To allow the interoperability among different Digital Libraries, the Open Archives Initiative (OAI) was defined and, to solve the problem of metadata standardization, the Dublin Core standard (DC) was created. On the other hand, the great amount of…

Advisors/Committee Members: Oliveira, Jose Palazzo Moreira de.

Subjects/Keywords: Recommender Systems; Sistemas : Informação; Biblioteca digital; Digital Libraries; Web semântica; Oai; Information personalization; Vector space model; Service providers; Semantic web

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lopes, G. R. (2007). Sistema de recomendação para bibliotecas digitais sob a perspectiva da web semântica. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/10747

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lopes, Giseli Rabello. “Sistema de recomendação para bibliotecas digitais sob a perspectiva da web semântica.” 2007. Thesis, Universidade do Rio Grande do Sul. Accessed January 17, 2021. http://hdl.handle.net/10183/10747.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lopes, Giseli Rabello. “Sistema de recomendação para bibliotecas digitais sob a perspectiva da web semântica.” 2007. Web. 17 Jan 2021.

Vancouver:

Lopes GR. Sistema de recomendação para bibliotecas digitais sob a perspectiva da web semântica. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2007. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10183/10747.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lopes GR. Sistema de recomendação para bibliotecas digitais sob a perspectiva da web semântica. [Thesis]. Universidade do Rio Grande do Sul; 2007. Available from: http://hdl.handle.net/10183/10747

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Oulu

15. Pahnila, S. (Seppo). Assessing the usage of personalized web information systems.

Degree: 2006, University of Oulu

URL: http://urn.fi/urn:isbn:9514281128

► Abstract The focus of this thesis is to assess factors which have an influence on the acceptance of personalized Web information systems (WIS). This study… (more)

▼ Abstract The focus of this thesis is to assess factors which have an influence on the acceptance of personalized Web information systems (WIS). This study is primarily based on the widely used and accepted Technology Acceptance Model (TAM). The qualitative part of the study presents an approach for developing dynamic Web information systems. The development process was based on the work done in the OWLA (Open Web/Wireless Adaptive Hypermedia Applications) research project in 2000–2002. The quantitative part of the study, which includes the main objective of the study, is related to assessment of user acceptance of the given system. The researcher performed a field study in 2003 in which data was collected using a web questionnaire. The field study resulted in a sample size of 209 responses. Moreover we carried out a comparison with the 2002/2003 field study aiming to study possible differences in respondents' attitude toward personalization. The previous field study was carried out during the OWLA research project. The responses were analyzed using SPSS and AMOS. Results of the quantitative part of the study show that the respondents accept personalization but they like to and want to adapt and personalize the content themselves. This was one of the most important findings of the study. Respondents do not want the system to provide content automatically; they want to control the content themselves. The results of the 2003 field study indicate that respondents do not consider layout adaptation, whether automatic or manual, to be important or desirable. The formulated model reveals that perceived relevance is one of the most important aspects that have an effect on attitude toward using and intention to use the given IS. Perceived expectancy and intention to use the given WIS are significant antecedents of actual use. Perceived behavioral control and normative beliefs also have a significant effect on intention to use portal. Enjoyment has a significant effect on attitude. Overall, we have identified in this study some significant factors which will provide useful information to IS practitioners studying the voluntary adoption of specific personalized systems. The results will also provide useful information for systems designers and will contribute towards assessing possible individual barriers to the use of personalized information systems. The study includes several proposals for future research including developing deeper understanding activities related to presented development approach, creating a more detailed view of factors which have an influence on the user's decision to use or not to use personalized information system, studying several systems.

Subjects/Keywords: adaptive hypermedia; personalization; user modeling; web information systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pahnila, S. (. (2006). Assessing the usage of personalized web information systems. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9514281128

Chicago Manual of Style (16^th Edition):

Pahnila, S (Seppo). “Assessing the usage of personalized web information systems.” 2006. Doctoral Dissertation, University of Oulu. Accessed January 17, 2021. http://urn.fi/urn:isbn:9514281128.

MLA Handbook (7^th Edition):

Pahnila, S (Seppo). “Assessing the usage of personalized web information systems.” 2006. Web. 17 Jan 2021.

Vancouver:

Pahnila S(. Assessing the usage of personalized web information systems. [Internet] [Doctoral dissertation]. University of Oulu; 2006. [cited 2021 Jan 17]. Available from: http://urn.fi/urn:isbn:9514281128.

Council of Science Editors:

Pahnila S(. Assessing the usage of personalized web information systems. [Doctoral Dissertation]. University of Oulu; 2006. Available from: http://urn.fi/urn:isbn:9514281128

16. Juliano Zanuzzio Blanco. SADP : arquitetura de sites dirigida por personalização.

Degree: 2009, Universidade Federal de São Carlos

URL: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2892

►

Sites na Web, de diferentes domínios, são acessados por usuários com as mais variadas finalidades. Diversas estratégias têm sido desenvolvidas e empregadas para melhorar e… (more)

▼

Sites na Web, de diferentes domínios, são acessados por usuários com as mais variadas finalidades. Diversas estratégias têm sido desenvolvidas e empregadas para melhorar e facilitar o acesso e a navegação de sites. Entre essas estratégias destacam-se as que visam obter vantagens competitivas em relação aos sites concorrentes, através de serviços de personalização de conteúdo. Hoje, com o avanço das redes de computadores e o surgimento da computação ubíqua, essa personalização deve considerar que os conteúdos dos sites podem ser acessados também através de dispositivos móveis. Motivados por essas idéias, foi desenvolvido um processo no qual a arquitetura do site é dirigida pela personalização, entregando conteúdo personalizado e adaptado aos usuários de sites. Esse processo, denominado SADP (Site Architecture Driven by Personalization), baseia-se não apenas no histórico de navegação e nas preferências detectadas ou manifestadas pelo usuário, mas também em informações de contexto, tipos dos dispositivos e de redes de acesso utilizado e no próprio conteúdo apresentado. O SADP utiliza perfis com informações das preferências dos seus usuários, redes e dispositivos de acessos ao site. Essas informações para construção dos perfis são obtidas através de métricas implícitas, e tratadas utilizando-se Ontologia Difusa. Um módulo de Inferência sobre Ontologia Difusa é utilizado para estender as preferências dos usuários. Um framework para adaptação de conteúdo é utilizado, para gerar a arquitetura do site com base nos perfis. O processo destaca-se por dirigir a arquitetura das páginas de conteúdos do site no sentido de proporcionar serviços personalizados para os seus usuários.

Web sites in different areas are accessed by users with the many purposes. Several strategies have been developed and employed to improve and facilitate website access and navigation. Among these strategies there are those used to grant competitive advantages over concurrent sites, based on services of content personalization. Today, with the growth of computer networks and the emergence of ubiquitous computing, this personalization must take into account that the content of the sites can also be accessed through mobile devices. Motivated by these ideas, in this project it was developed a process in which site architectures are driven by personalization and personalized content is delivered to site users. This process, called SADP (Site Personalization by Driven Architecture), is based not only on navigation history and preferences expressed or detected by the users, but also on context information, device and network types and the site content itself. The SADP uses profiles contain information about user preferences, networks and devices used to site access. The information used to build profiles are obtained through implicit metrics, and treated using a Fuzzy Ontology. A module of Fuzzy Inference over Ontology is used to extend the user preferences. A framework for content adaptation is used to generate a site architecture based on profiles. The…

Advisors/Committee Members: Antonio Francisco do Prado.

Subjects/Keywords: Sistemas de recomendação; Ontologia difusa; Personalização; Adaptação de conteúdo; Perfis; CIENCIA DA COMPUTACAO; Personalization; Systems recommendation; Fuzzy Ontology; Content adaptation; Profiles

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Blanco, J. Z. (2009). SADP : arquitetura de sites dirigida por personalização. (Thesis). Universidade Federal de São Carlos. Retrieved from http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2892

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Blanco, Juliano Zanuzzio. “SADP : arquitetura de sites dirigida por personalização.” 2009. Thesis, Universidade Federal de São Carlos. Accessed January 17, 2021. http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2892.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Blanco, Juliano Zanuzzio. “SADP : arquitetura de sites dirigida por personalização.” 2009. Web. 17 Jan 2021.

Vancouver:

Blanco JZ. SADP : arquitetura de sites dirigida por personalização. [Internet] [Thesis]. Universidade Federal de São Carlos; 2009. [cited 2021 Jan 17]. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2892.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Blanco JZ. SADP : arquitetura de sites dirigida por personalização. [Thesis]. Universidade Federal de São Carlos; 2009. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=2892

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. Li, Lei. Next Generation of Recommender Systems: Algorithms and Applications.

Degree: PhD, Computer Science, 2014, Florida International University

URL: https://digitalcommons.fiu.edu/etd/1446 ; 10.25148/etd.FI14071110 ; FI14071110

► Personalized recommender systems aim to assist users in retrieving and accessing interesting items by automatically acquiring user preferences from the historical data and matching… (more)

▼ Personalized recommender systems aim to assist users in retrieving and accessing interesting items by automatically acquiring user preferences from the historical data and matching items with the preferences. In the last decade, recommendation services have gained great attention due to the problem of information overload. However, despite recent advances of personalization techniques, several critical issues in modern recommender systems have not been well studied. These issues include: (1) understanding the accessing patterns of users (i.e., how to effectively model users' accessing behaviors); (2) understanding the relations between users and other objects (i.e., how to comprehensively assess the complex correlations between users and entities in recommender systems); and (3) understanding the interest change of users (i.e., how to adaptively capture users' preference drift over time). To meet the needs of users in modern recommender systems, it is imperative to provide solutions to address the aforementioned issues and apply the solutions to real-world applications. The major goal of this dissertation is to provide integrated recommendation approaches to tackle the challenges of the current generation of recommender systems. In particular, three user-oriented aspects of recommendation techniques were studied, including understanding accessing patterns, understanding complex relations and understanding temporal dynamics. To this end, we made three research contributions. First, we presented various personalized user profiling algorithms to capture click behaviors of users from both coarse- and fine-grained granularities; second, we proposed graph-based recommendation models to describe the complex correlations in a recommender system; third, we studied temporal recommendation approaches in order to capture the preference changes of users, by considering both long-term and short-term user profiles. In addition, a versatile recommendation framework was proposed, in which the proposed recommendation techniques were seamlessly integrated. Different evaluation criteria were implemented in this framework for evaluating recommendation techniques in real-world recommendation applications. In summary, the frequent changes of user interests and item repository lead to a series of user-centric challenges that are not well addressed in the current generation of recommender systems. My work proposed reasonable solutions to these challenges and provided insights on how to address these challenges using a simple yet effective recommendation framework. Advisors/Committee Members: Tao Li, Shu-Ching Chen, Jainendra K Navlakha, Bogdan Carbunar, Debra VanderMeer.

Subjects/Keywords: Recommender Systems; Personalization; User Profiling; Recommendation Applications

…personalization techniques, several critical issues in modern recommender systems have not been well… …Functions of A Recommender 1.2 Existing Solutions to Personalization 1.2.1 Content Filtering… …personalized recommender systems have seen their largest use cases on the web. Personalized… …recommender systems aim to assist users in retrieving and accessing interesting items by… …developing new solutions to recommender systems in recent years. Examples of such applications…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, L. (2014). Next Generation of Recommender Systems: Algorithms and Applications. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/1446 ; 10.25148/etd.FI14071110 ; FI14071110

Chicago Manual of Style (16^th Edition):

Li, Lei. “Next Generation of Recommender Systems: Algorithms and Applications.” 2014. Doctoral Dissertation, Florida International University. Accessed January 17, 2021. https://digitalcommons.fiu.edu/etd/1446 ; 10.25148/etd.FI14071110 ; FI14071110.

MLA Handbook (7^th Edition):

Li, Lei. “Next Generation of Recommender Systems: Algorithms and Applications.” 2014. Web. 17 Jan 2021.

Vancouver:

Li L. Next Generation of Recommender Systems: Algorithms and Applications. [Internet] [Doctoral dissertation]. Florida International University; 2014. [cited 2021 Jan 17]. Available from: https://digitalcommons.fiu.edu/etd/1446 ; 10.25148/etd.FI14071110 ; FI14071110.

Council of Science Editors:

Li L. Next Generation of Recommender Systems: Algorithms and Applications. [Doctoral Dissertation]. Florida International University; 2014. Available from: https://digitalcommons.fiu.edu/etd/1446 ; 10.25148/etd.FI14071110 ; FI14071110

Kent State University

18. Bobade, Kailas B. Personalized Credential Negotiation Based on Policy Individualization in Federation.

Degree: MS, College of Arts and Sciences / Department of Computer Science, 2009, Kent State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=kent1259734008

► In virtual business place, organizations store information of its members. Federated Access Control Systems such as Shibboleth, Active Directory Federation Service allow virtual organizations to… (more)

Subjects/Keywords: Computer Science; Information Systems; Personalization; Federation; Privacy; Negotiation; Security

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bobade, K. B. (2009). Personalized Credential Negotiation Based on Policy Individualization in Federation. (Masters Thesis). Kent State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1259734008

Chicago Manual of Style (16^th Edition):

Bobade, Kailas B. “Personalized Credential Negotiation Based on Policy Individualization in Federation.” 2009. Masters Thesis, Kent State University. Accessed January 17, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=kent1259734008.

MLA Handbook (7^th Edition):

Bobade, Kailas B. “Personalized Credential Negotiation Based on Policy Individualization in Federation.” 2009. Web. 17 Jan 2021.

Vancouver:

Bobade KB. Personalized Credential Negotiation Based on Policy Individualization in Federation. [Internet] [Masters thesis]. Kent State University; 2009. [cited 2021 Jan 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1259734008.

Council of Science Editors:

Bobade KB. Personalized Credential Negotiation Based on Policy Individualization in Federation. [Masters Thesis]. Kent State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1259734008

Delft University of Technology

19. Kromhout, Ben (author). Transcended Manufacturing: The mass-production of one-of-a-kind products.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:c3df3c01-0b6d-4611-bccf-c4a5587f04ac

► The project is divided into three sub-assignments: - A future manufacturing context must be envisioned and the most important requirements synthesized. - An implementation of… (more)

▼ The project is divided into three sub-assignments: - A future manufacturing context must be envisioned and the most important requirements synthesized. - An implementation of this envisioned manufacturing system must be developed and validated. - An exemplary-product producible by this system must be designed, showcasing the benefits of the envisioned manufacturing method. Envision Following the problem definition and assignment defined in the Introduction phase, the current state of manufacturing and how we got there is analyzed. A future context around a complete product-life-cycle is envisioned. Within this vision both the product as well as the factory are explored. The design tasks were performed in parallel, but they will be described in sequence. First the factory will be discussed: a manufacturing concept is synthesized, the underlying principles are analyzed, and a factory classification is done. Then the exemplary-product will be discussed: the underlying principles of product personalization are explored, and the principles of a product within the developed future context are described. The acquired knowledge gets integrated in a design brief and a list of directing requirements. These form together with the future vision, a starting point to design an actual realization of both product and factory in the phase after the Envision phase. Actualization Following the design brief defined in the Envision phase, the conceptualization of both product and production need to go hand in hand. A realizable future production system must be accompanied by a product that showcases this manufacturing method and the other way around: the personalizable product-family requires a production system that is capable of producing these one-off-products at a high production-capacity. Both design tasks were performed in parallel, but they will be described in sequence in this part of the report. First the exemplary-product will be discussed: the choice, the conceptualization, and the embodiment. Then the Transcended production system will be discussed: the required standardization, the proposed production cluster, conceptualization of the production framework and embodiment of the initial prototype. This prototype can then be used for validation of the propped framework in the phase after the Actualization phase. Validation In the Actualization phase a framework is proposed for the full, so called, pick-and-place on-printing process. This framework should be able to produce the designed computer mouse. And a prototype is developed solving the most important FDM-Cabinet embodiment challenges, resulting in a working system. The goals for this prototype are, firstly to demonstrate an initial framework that is able to produce a personalized consumer electronics product from start to finish at a mass-production output capacity (theoretically). And secondly to validate the pick-and-place on-printing process as a feasible method to produce multi-component parts. The Core Functional Requirements for this prototype are discussed and… Advisors/Committee Members: Geraedts, Em. Prof. dr. ir. J.M.P. (mentor), Plettenburg, dr. ir. D.H. (graduation committee), Minnoye, Ir. A.L.M. (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Mass-customization; personalization; cyber-physical systems; Industry 4.0; Manufacturing; Digital Twin; Agile Manufacturing; Direct-digital-manufacturing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kromhout, B. (. (2020). Transcended Manufacturing: The mass-production of one-of-a-kind products. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c3df3c01-0b6d-4611-bccf-c4a5587f04ac

Chicago Manual of Style (16^th Edition):

Kromhout, Ben (author). “Transcended Manufacturing: The mass-production of one-of-a-kind products.” 2020. Masters Thesis, Delft University of Technology. Accessed January 17, 2021. http://resolver.tudelft.nl/uuid:c3df3c01-0b6d-4611-bccf-c4a5587f04ac.

MLA Handbook (7^th Edition):

Kromhout, Ben (author). “Transcended Manufacturing: The mass-production of one-of-a-kind products.” 2020. Web. 17 Jan 2021.

Vancouver:

Kromhout B(. Transcended Manufacturing: The mass-production of one-of-a-kind products. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:c3df3c01-0b6d-4611-bccf-c4a5587f04ac.

Council of Science Editors:

Kromhout B(. Transcended Manufacturing: The mass-production of one-of-a-kind products. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:c3df3c01-0b6d-4611-bccf-c4a5587f04ac

20. Chrysafiadi, Konstantina. Modeling the learner’s cognitive state transitions using fuzzy logic techniques for adaptive learning.

Degree: 2014, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

URL: http://hdl.handle.net/10442/hedi/34607

► In this Ph.D. thesis a novel approach of web-based education that performs individualized instruction, adapting the delivery of the knowledge domain to the individual learner’s… (more)

▼ In this Ph.D. thesis a novel approach of web-based education that performs individualized instruction, adapting the delivery of the knowledge domain to the individual learner’s learning needs and pace, is presented. It includes fuzzy logic techniques to represent the learner’s knowledge and cognitive state. The presented Intelligent Tutoring System includes a rule-based fuzzy logic mechanism for providing personalized tutoring to each learner and an innovative module, which is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress.The presented approach models either how learning progresses or how the student’s knowledge can be decreased. In particular, it performs user modeling by dynamically identifying and updating the student’s knowledge level for all the concepts of the domain knowledge. Its operation is based on Fuzzy Cognitive Maps (FCMs). They are used to represent the dependencies among the domain concepts. The presented student model uses fuzzy sets to represent the student’s knowledge level as a subset of the domain knowledge. Thus, it combines fuzzy theory with the overlay model. Moreover, it employs a novel inference mechanism that dynamically updates user stereotypes using fuzzy sets. This mechanism is triggered after any change of the student’s knowledge level of a domain concept. Then, it updates the student’s knowledge level of the concepts, which are related with the concept that the student has learnt or forgotten. The transition of a learner from one stereotype to another reveals her/his learning state each time. In particular, it reveals if a student learns or not, if s/he forgets and reasons these states.The presented novel approach was fully implemented and evaluated. Particularly, an original integrated environment for personalized e-training in programming and the programming language C, which is called ELaC, was developed. The specific knowledge domain was chosen due the fact that in the domain of computer programming there are many different programming languages and learners have a variety of different backgrounds and characteristics. Therefore, it is suitable for the implementation and evaluation of the thesis’ issue. ELaC incorporates the presented fuzzy student modeling approach. Thereby, recognizes when a new domain concept is completelyunknown to the learner, or when it is partly known due to the learner having previous related knowledge. Furthermore, it recognizes when a previously known domain concept has been completely or partly forgotten by the learner. This system was used by the students of a postgraduate program in the field of Informatics in the University of Piraeus, Greece, in order to learn how to program in the programming language C.For the evaluation of the fuzzy student model approach, two well-known and common-used evaluation methods were chosen: the Kirkpatrick’s model and the layered evaluation method. The results of the evaluation were very encouraging. They demonstrated that the system models the student’s…

Subjects/Keywords: Εξατομικευμένη εκπαίδευση; Ευφυή διδακτικά συστήματα; Ασαφής λογική; Μοντελοποίηση μαθητή; Προσαρμοστικά εκπαιδευτικά συστήματα; Personalization; Web-based intelligent tutoring systems; Fuzzy logic; Student modelling; Adaptive tutoring systems

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APA (6^th Edition):

Chrysafiadi, K. (2014). Modeling the learner’s cognitive state transitions using fuzzy logic techniques for adaptive learning. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/34607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chrysafiadi, Konstantina. “Modeling the learner’s cognitive state transitions using fuzzy logic techniques for adaptive learning.” 2014. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed January 17, 2021. http://hdl.handle.net/10442/hedi/34607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chrysafiadi, Konstantina. “Modeling the learner’s cognitive state transitions using fuzzy logic techniques for adaptive learning.” 2014. Web. 17 Jan 2021.

Vancouver:

Chrysafiadi K. Modeling the learner’s cognitive state transitions using fuzzy logic techniques for adaptive learning. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10442/hedi/34607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chrysafiadi K. Modeling the learner’s cognitive state transitions using fuzzy logic techniques for adaptive learning. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2014. Available from: http://hdl.handle.net/10442/hedi/34607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidade do Minho

21. Freitas, Mauro. Personalized approach on a smart image search engine, handling default data .

Degree: 2014, Universidade do Minho

URL: http://hdl.handle.net/1822/37466

► Search engines are becoming a tool widely used these days, there are different examples like Google, Yahoo!, Bing and so on. Adjacent to these tools… (more)

Subjects/Keywords: Personalization; Case-Based Reasoning; Intelligent Systems; Search Engines; Handling Default Data; Personalização; Raciocínio Baseado em Casos; Sistemas Inteligentes; Motores de busca; Tratamento de informação incompleta ou desconhecida

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Freitas, M. (2014). Personalized approach on a smart image search engine, handling default data . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/37466

Chicago Manual of Style (16^th Edition):

Freitas, Mauro. “Personalized approach on a smart image search engine, handling default data .” 2014. Masters Thesis, Universidade do Minho. Accessed January 17, 2021. http://hdl.handle.net/1822/37466.

MLA Handbook (7^th Edition):

Freitas, Mauro. “Personalized approach on a smart image search engine, handling default data .” 2014. Web. 17 Jan 2021.

Vancouver:

Freitas M. Personalized approach on a smart image search engine, handling default data . [Internet] [Masters thesis]. Universidade do Minho; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/1822/37466.

Council of Science Editors:

Freitas M. Personalized approach on a smart image search engine, handling default data . [Masters Thesis]. Universidade do Minho; 2014. Available from: http://hdl.handle.net/1822/37466

22. Σκουληκάρη, Αριάδνη - Ειρήνη. Σχεδιασμός κι ανάπτυξη εξατομικευμένου και προσαρμοστικού συστήματος ηλεκτρονικής μάθησης, το μέλλον των Learning Management Systems.

Degree: 2015, University of Patras

URL: http://hdl.handle.net/10889/8594

► Τα τελευταία χρόνια η αυξανόμενη σημασία της πληροφορίας και της συνεχιζόμενης μάθησης έχει καταστήσει τη χρήση των τεχνολογιών πληροφορικής και επικοινωνιών (Τ.Π.Ε.) στην εκπαίδευση καθώς… (more)

▼ Τα τελευταία χρόνια η αυξανόμενη σημασία της πληροφορίας και της συνεχιζόμενης μάθησης έχει καταστήσει τη χρήση των τεχνολογιών πληροφορικής και επικοινωνιών (Τ.Π.Ε.) στην εκπαίδευση καθώς και την εξ αποστάσεως εκπαίδευση μέσω e-learning συστημάτων, ως επιτακτική ανάγκη. Το κυριότερο πλεονέκτημα των e-learning συστημάτων είναι ότι παρέχουν τη δυνατότητα στον κόσμο να παρακολουθήσει ένα μάθημα, ακόμα κι ένα ολόκληρο πρόγραμμα σπουδών εξ αποστάσεως, μέσω της σύγχρονης και παγκοσμίως πλέον διαδεδομένης μεθόδου των online courses. Τα περισσότερα μεγάλης εμβέλειας και αναγνωρισιμότητας, πανεπιστήμια του εξωτερικού προσφέρουν online μαθήματα μέσω τεχνολογιών του διαδικτύου, χρησιμοποιώντας διαφάνειες, βιντεο-διαλέξεις και online εκπαιδευτικές δραστηριότητες. Ένας τομέας όμως στον οποίο υστερεί η εκπαίδευση εξ αποστάσεως, ακόμα και στα πιο πρόσφατα ανεπτυγμένα e-learning συστήματα, είναι ο τομέας της προσωποποίησης του σπουδαστή και εξατομίκευσης του συστήματος στις ανάγκες του. Η παρούσα διπλωματική εργασία παρουσιάζει τις δυνατότητες που παρέχονται από τα ήδη υπάρχοντα συστήματα e-learning, την τωρινή κατάσταση με τα παρεχόμενα online μαθήματα από πανεπιστήμια του εξωτερικού και το ερευνητικό κενό που υπάρχει σχετικά με την «προσωποποίηση» (personalization) του σπουδαστή και την προσαρμογή (adaptation) του συστήματος στις ανάγκες του. Μελετάται η μοντελοποίηση του χρήστη (user modeling), τα μαθησιακά προφίλ, ο εμπλουτισμός του προφίλ του σπουδαστή ώστε να παρέχει περισσότερες και αξιόλογες πληροφορίες, καθώς και οι δυνατότητες εξατομίκευσης του συστήματος στον εκάστοτε σπουδαστή, ώστε να επιτευχθεί η επιτάχυνση και αποτελεσματικότητα της ηλεκτρονικής μάθησης. Στα πλαίσια της παρούσας διπλωματικής εργασίας σχεδιάστηκε και υλοποιήθηκε ένα σύστημα ηλεκτρονικής μάθησης, το οποίο στηρίζεται στο λογισμικό Moodle και έχουν αναπτυχθεί σε αυτό, νέες υπηρεσίες εξατομίκευσης και προσαρμοστικότητας του συστήματος στις ανάγκες και προτιμήσεις του εκπαιδευομένου. Το Moodle LMS (Modular Object Oriented Dynamic Learning Environment) είναι ελεύθερο λογισμικό διαχείρισης εκπαιδευτικού περιεχομένου και χρησιμοποιείται από πολλά πανεπιστήμια παγκοσμίως. Είναι ευέλικτο, εύκολο στην εκμάθηση και αρκετά ασφαλές για την ασύγχρονη εκπαίδευση από απόσταση. Ενσωματώνει πληθώρα λειτουργιών και δυνατοτήτων που επιτρέπουν στο διδάσκοντα να διαμορφώσει ένα καλά οργανωμένο και ευχάριστο μάθημα με ευρεία κλίμακα δραστηριοτήτων. Στο εξατομικευμένο και προσαρμοστικό σύστημα ηλεκτρονικής μάθησης που αναπτύχθηκε, διαμορφώθηκε ένα μάθημα με πλούσιο εκπαιδευτικό υλικό, το οποίο απαρτίζουν πολλά και διαφορετικού τύπου μαθησιακά αντικείμενα (πηγές πληροφόρησης, δραστηριότητες, κ.α.). Εμπλουτίστηκε το προφίλ χρήστη με περισσότερες προσωπικές πληροφορίες γι αυτόν και στη συνέχεια αναπτύχθηκαν μαθησιακά μονοπάτια που στηρίζονται είτε στα πεδία προφίλ χρήστη, είτε στο μαθησιακό στυλ του εκπαιδευομένου, είτε σε άλλους παράγοντες που παρουσιάζονται αναλυτικά στην εργασία. Για την εξατομίκευση του συστήματος αναπτύχθηκε μία ενότητα «Pre-course test» η οποία… Advisors/Committee Members: Τσακαλίδης, Αθανάσιος, Skoulikari, Ariadni Eirini, Τσακαλίδης, Αθανάσιος, Τσώλης, Δημήτριος, Χατζηλυγερούδης, Ιωάννης.

Subjects/Keywords: Εξ αποστάσεως εκπαίδευση; Ηλεκτρονική μάθηση; Εξατομίκευση; Προσαρμοστικότητα συστήματος; Σύστημα LMS; Μοντελοποίηση εκπαιδευομένου; 371.334 467 8; E-learning; Personalization; Adaptivity; Learning Management Systems; MOOCs; Student modeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Σκουληκάρη, �. -. �. (2015). Σχεδιασμός κι ανάπτυξη εξατομικευμένου και προσαρμοστικού συστήματος ηλεκτρονικής μάθησης, το μέλλον των Learning Management Systems. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/8594

Chicago Manual of Style (16^th Edition):

Σκουληκάρη, Αριάδνη - Ειρήνη. “Σχεδιασμός κι ανάπτυξη εξατομικευμένου και προσαρμοστικού συστήματος ηλεκτρονικής μάθησης, το μέλλον των Learning Management Systems.” 2015. Masters Thesis, University of Patras. Accessed January 17, 2021. http://hdl.handle.net/10889/8594.

MLA Handbook (7^th Edition):

Σκουληκάρη, Αριάδνη - Ειρήνη. “Σχεδιασμός κι ανάπτυξη εξατομικευμένου και προσαρμοστικού συστήματος ηλεκτρονικής μάθησης, το μέλλον των Learning Management Systems.” 2015. Web. 17 Jan 2021.

Vancouver:

Σκουληκάρη �-�. Σχεδιασμός κι ανάπτυξη εξατομικευμένου και προσαρμοστικού συστήματος ηλεκτρονικής μάθησης, το μέλλον των Learning Management Systems. [Internet] [Masters thesis]. University of Patras; 2015. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10889/8594.

Council of Science Editors:

Σκουληκάρη �-�. Σχεδιασμός κι ανάπτυξη εξατομικευμένου και προσαρμοστικού συστήματος ηλεκτρονικής μάθησης, το μέλλον των Learning Management Systems. [Masters Thesis]. University of Patras; 2015. Available from: http://hdl.handle.net/10889/8594

Université de Grenoble

23. Vettier, Benoît. Suivi de l'activité humaine par hypothèses multiples abductives : Human Activity Monitoring with Multiple Abductive Hypotheses.

Degree: Docteur es, Informatique, 2013, Université de Grenoble

URL: http://www.theses.fr/2013GRENM021

►

Ces travaux traitent du suivi de l'activité humaine à travers l'analyse en temps r éel de signaux physiologiques et d'accélé rométrie. Il s'agit de données… (more)

▼

Ces travaux traitent du suivi de l'activité humaine à travers l'analyse en temps r éel de signaux physiologiques et d'accélé rométrie. Il s'agit de données issues de capteurs ambulatoires ; elles sont bruitées, ambigües, et ne représentent qu'une vision incomplète de la situation. De par la nature des données d'une part, et les besoins fonctionnels de l'application d'autre part, nous considérons que le monde des possibles n'est ni exhaustif ni exclusif, ce qui contraint le mode de raisonnement. Ainsi, nous proposons un raisonnement abductif à base de modèles interconnectés et personnalisés. Ce raisonnement consiste à manipuler un faisceau d'hypothèses au sein d'un cadre dynamique de contraintes, venues tant de l'observateur (en termes d'activités acceptables) que d'exigences non-fonctionnelles, ou portant sur la santé du sujet observé. Le nombre d'hypothèses étudiées à chaque instant est amené à varier, par des mécanismes de Pr édiction-Vérification ; l'adaptation du Cadre participe également à la mise en place d'un pilotage sensible au contexte. Nous proposons un système multi-agent pour représenter ces hypothèses; les agents sont organisés autour d'un environnement partagé qui leur permet d' échanger l'information. Ces échanges et, de manière générale, la détection des contextes d'activation des agents, sont régis par des filtres qui associent une action à des conditions. Le mode de raisonnement et l'organisation de ces agents hétérogènes au sein d'un cadre homogène confèrent au système expressivité, évolutivité et maîtrise des coûts calculatoires. Une implémentation utilisant des données réelles permet d'illustrer les qualités de la proposition.

This proposal deals with human activity monitoring, through the real-time analysis of both physiology data and accelerometry. These data come from ambulatory sensors ; they are noisy and ambiguous, and merely represent a partial and incomplete observation of the current si- tuation. Given the nature of the data on one hand, and the application's required features on the other hand, we consider an Open World of non-exclusive possible situations. This has a restrictive impact on the reasoning engine. We thus propose to use abductive reasoning, based on interconnected and personalized models. This way of reasoning consists in handling a beam of hypotheses, within a dynamic Frame of constraints which come both from the Observer (who defines acceptable situations) and from non-functional expectations, or relating to the observed person's health. The number of hy- potheses at each timestep is wont to vary, by means of Prediction-Verification schemes. The evolution of the Frame leads to context-sensitive adaptive control. We propose a multi-agent system to manage these hypotheses; the agents are organized around a shared environment which allows them to trade information. This interaction and the general detection of activation contexts for the agents are powered and regulated by condition- action filters. The way of reasoning and the organization of heterogeneous agents…

Advisors/Committee Members: Garbay, Catherine (thesis director).

Subjects/Keywords: Hypothèses multiples; Systèmes multi agents; Pilotage adaptatif; Activité humaine; Personnalisation; Abduction; Multiple hypotheses; Multi agent systems; Adaptive control; Human activity; Personalization; Abduction; 004

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vettier, B. (2013). Suivi de l'activité humaine par hypothèses multiples abductives : Human Activity Monitoring with Multiple Abductive Hypotheses. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2013GRENM021

Chicago Manual of Style (16^th Edition):

Vettier, Benoît. “Suivi de l'activité humaine par hypothèses multiples abductives : Human Activity Monitoring with Multiple Abductive Hypotheses.” 2013. Doctoral Dissertation, Université de Grenoble. Accessed January 17, 2021. http://www.theses.fr/2013GRENM021.

MLA Handbook (7^th Edition):

Vettier, Benoît. “Suivi de l'activité humaine par hypothèses multiples abductives : Human Activity Monitoring with Multiple Abductive Hypotheses.” 2013. Web. 17 Jan 2021.

Vancouver:

Vettier B. Suivi de l'activité humaine par hypothèses multiples abductives : Human Activity Monitoring with Multiple Abductive Hypotheses. [Internet] [Doctoral dissertation]. Université de Grenoble; 2013. [cited 2021 Jan 17]. Available from: http://www.theses.fr/2013GRENM021.

Council of Science Editors:

Vettier B. Suivi de l'activité humaine par hypothèses multiples abductives : Human Activity Monitoring with Multiple Abductive Hypotheses. [Doctoral Dissertation]. Université de Grenoble; 2013. Available from: http://www.theses.fr/2013GRENM021

Pontifical Catholic University of Rio de Janeiro

24. CAROLINA LIMEIRA ALVES. [en] RECOMMENDATION SYSTEMS: AN USER EXPERIENCE ANALYSIS IN DIGITAL PRODUCTS.

Degree: 2015, Pontifical Catholic University of Rio de Janeiro

URL: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25573

►

[pt] Big Data é o termo utilizado para caracterizar o conjunto de soluções tecnológicas que permitem o rápido processamento de um grande volume de dados… (more)

▼

[pt] Big Data é o termo utilizado para caracterizar o conjunto de soluções tecnológicas que permitem o rápido processamento de um grande volume de dados variados. Estas soluções só se tornaram possíveis com os avanços tecnológicos ocorridos nas últimas décadas. Uma das funcionalidades que ganharam força e melhorias através desses tipos de tecnologias são os sistemas de recomendação. Tais sistemas têm como objetivo principal oferecer ao usuário sugestões de conteúdo que possam interessá-lo. Este conteúdo pode ser uma notícia, um produto, um contato, um filme, uma música ou qualquer outro tipo de informação. Esta dissertação estuda a percepção dos usuários em relação aos sistemas de recomendação, especialmente para o conteúdo televisivo (programas, séries e filmes). Para tal, fez-se uso de questionários, grupos de foco, análise do cenário atual e estudo de caso. Através destes métodos e técnicas foi possível identificar os diferentes fatores que influenciam a maneira como a funcionalidade é percebida e a forma como os serviços são utilizados. Além disso, se discute as consequências do uso excessivo da personalização de conteúdo, bem como questões éticas, privacidade, impactos sociais e psicológicos e a responsabilidade do designer de produtos digitais. Em conclusão, são feitas recomendações para o desenvolvimento deste tipo de sistema de forma que atenda aos seus objetivos e proporcione uma experiência mais satisfatória ao usuário.

[en] Big Data is the term used to identify the set of technological solutions that allows the fast processing of a big amount of diverse data that only became possible with the technological advances that have occurred in recent decades. One of the features that gained strength and improvements through these types of technologies are the recommendation systems. The objective of these kind of systems is to offer suggestions of content that might interest the users. This content can be some news, a product, a personal contact, a movie, a song or any other kind of information. This dissertation addresses the study of the perception of the users relative to recommendation systems, especially for television content (programs, series and movies). For this purpose, questionnaires, focus groups, context analysis and case studies were used. Through these methods and techniques it was possible to identify the different factors that influences how the functionality is perceived and how the services are used. Further, it discusses the consequences of the excessive use of personalized content, privacy, ethical and social issues, psychological impacts and the responsibility of the digital products designer. In conclusion, some recommendations are made regarding the development of this type of system so that it achieves its purposes and provides a more satisfying user experience.

Advisors/Committee Members: REJANE SPITZ.

Subjects/Keywords: [pt] INTERNET; [en] INTERNET; [pt] PERSONALIZACAO; [en] PERSONALIZATION; [pt] SISTEMAS DE RECOMENDACAO; [en] RECOMMENDER SYSTEMS; [pt] EXPERIENCIA DO USUARIO; [en] USER EXPERIENCE; [pt] USUARIO; [pt] BIG DATA; [en] BIG DATA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

ALVES, C. L. (2015). [en] RECOMMENDATION SYSTEMS: AN USER EXPERIENCE ANALYSIS IN DIGITAL PRODUCTS. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25573

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

ALVES, CAROLINA LIMEIRA. “[en] RECOMMENDATION SYSTEMS: AN USER EXPERIENCE ANALYSIS IN DIGITAL PRODUCTS.” 2015. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed January 17, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25573.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

ALVES, CAROLINA LIMEIRA. “[en] RECOMMENDATION SYSTEMS: AN USER EXPERIENCE ANALYSIS IN DIGITAL PRODUCTS.” 2015. Web. 17 Jan 2021.

Vancouver:

ALVES CL. [en] RECOMMENDATION SYSTEMS: AN USER EXPERIENCE ANALYSIS IN DIGITAL PRODUCTS. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2015. [cited 2021 Jan 17]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25573.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

ALVES CL. [en] RECOMMENDATION SYSTEMS: AN USER EXPERIENCE ANALYSIS IN DIGITAL PRODUCTS. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2015. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25573

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Missouri University of Science and Technology

25. Menon, Kartik. Web personalization architecture using neuro-fuzzy clustering algorithms.

Degree: M.S. in Engineering Management, Engineering Management, Missouri University of Science and Technology

URL: https://scholarsmine.mst.edu/masters_theses/2447

"In this research a different way for personalizing web sites called Web Personalization Architecture (WPA) based on neuro-fuzzy clustering algorithms is proposed." – Introduction, page 2.

Subjects/Keywords: Web personalization architecture; Operations Research, Systems Engineering and Industrial Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Menon, K. (n.d.). Web personalization architecture using neuro-fuzzy clustering algorithms. (Masters Thesis). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/masters_theses/2447

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16^th Edition):

Menon, Kartik. “Web personalization architecture using neuro-fuzzy clustering algorithms.” Masters Thesis, Missouri University of Science and Technology. Accessed January 17, 2021. https://scholarsmine.mst.edu/masters_theses/2447.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7^th Edition):

Menon, Kartik. “Web personalization architecture using neuro-fuzzy clustering algorithms.” Web. 17 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Menon K. Web personalization architecture using neuro-fuzzy clustering algorithms. [Internet] [Masters thesis]. Missouri University of Science and Technology; [cited 2021 Jan 17]. Available from: https://scholarsmine.mst.edu/masters_theses/2447.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Menon K. Web personalization architecture using neuro-fuzzy clustering algorithms. [Masters Thesis]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/masters_theses/2447

Note: this citation may be lacking information needed for this citation format:
No year of publication.

26. Valencia Rodríguez, Salvador. Location Aware Multi-criteria Recommender System for Intelligent Data Mining .

Degree: 2012, University of Ottawa

URL: http://hdl.handle.net/10393/23418

► One of the most important challenges facing us today is to personalize services based on user preferences. In order to achieve this objective, the design… (more)

▼ One of the most important challenges facing us today is to personalize services based on user preferences. In order to achieve this objective, the design of Recommender Systems (RSs), which are systems designed to aid the users through different decision-making processes by providing recommendations to them, have been an active area of research. RSs may produce personalized and non-personalized recommendations. Non-personalized RSs provide general suggestions to a user, based on the number of times an item has been selected in the past. Personalized RSs, on the other hand, aim to predict the most suitable items for a specific user, based on the user’s preferences and constraints. The latter are the focus of this thesis. While Recommender Systems have been successful in many domains, a number of challenges remain. For example, most implementations consider only single criteria ratings, and consequently are unable to identify why a user prefers an item over others. Many systems classify the user into one single group or cluster which is an unrealistic approach, since in real world users share commonalities in different degrees with diverse types of users. Others require a large amount of previously gathered data about users’ interactions and preferences, in order to be successfully applied. In this study, we introduce a methodology for the creation of Personalized Multi Criteria Context Aware Recommender Systems that aims to overcome these shortcomings. Our methodology incorporates the user’s current context information, and techniques from the Multiple Criteria Decision Analysis (MCDA) field of study to analyze and model the user preferences. To this end, we create a multi criteria user preference model to assess the utility of each item for a specific user, to then recommend the items with the highest utility. The criteria considered when creating the user preference model are the user’s location, mobility level and user profile. The latter is obtained by considering the user specific needs, and generalizing the user data from a large scale demographic database. We present a case study where we applied our methodology into PeRS, a personal Recommender System to recommend events that will take place within the Ottawa/Gatineau Region. Furthermore, we conduct an offline experiment performed to evaluate our methodology, as implemented in our case study. From the experimental results we conclude that our RS is capable to accurately narrow down, and identify, the groups from a demographic database where a user may belong, and subsequently generate highly accurate recommendation lists of items that match with his/her preferences. This means that the system has the ability to understand and typify the user. Moreover, the results show that the obtained system accuracy doesn’t depend on the user profile. Therefore, the system is potentially capable to produce equally accurate recommendations for a wide range of the population.

Subjects/Keywords: Recommender Systems; Data Mining; Location Aware; User Preference Models; Personalization

…61 4.2: Process followed to provide content personalization… …of web-based systems that are accessible for most of the population anytime and anywhere… …Consequently, nowadays the use of Internet and more specifically these web-based systems, play a… …available in the databases, and the critical role that web-based systems play in our lives… …Recommender Systems (RSs) are proposed as 1 software tools and techniques designed to…

10 more images…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Valencia Rodríguez, S. (2012). Location Aware Multi-criteria Recommender System for Intelligent Data Mining . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/23418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Valencia Rodríguez, Salvador. “Location Aware Multi-criteria Recommender System for Intelligent Data Mining .” 2012. Thesis, University of Ottawa. Accessed January 17, 2021. http://hdl.handle.net/10393/23418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Valencia Rodríguez, Salvador. “Location Aware Multi-criteria Recommender System for Intelligent Data Mining .” 2012. Web. 17 Jan 2021.

Vancouver:

Valencia Rodríguez S. Location Aware Multi-criteria Recommender System for Intelligent Data Mining . [Internet] [Thesis]. University of Ottawa; 2012. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10393/23418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Valencia Rodríguez S. Location Aware Multi-criteria Recommender System for Intelligent Data Mining . [Thesis]. University of Ottawa; 2012. Available from: http://hdl.handle.net/10393/23418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Sulejmanovic, Nedim. Handgjordasaker.se - Användarcentrerad anpassning.

Degree: Communication and Design, 2009, University of Kalmar

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2109

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Hemsidan handgjordasaker.se är en Internetmarknadsplats som tillhandahåller tjänsten för försäljning av handgjorda produkter. Detta projekt syftar till att ge förslag på hur anpassningar av… (more)

Subjects/Keywords: internetmarknadsplats; handgjordasaker; personifiering; personalization; Information Systems; Systemvetenskap, informationssystem och informatik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sulejmanovic, N. (2009). Handgjordasaker.se - Användarcentrerad anpassning. (Thesis). University of Kalmar. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2109

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sulejmanovic, Nedim. “Handgjordasaker.se - Användarcentrerad anpassning.” 2009. Thesis, University of Kalmar. Accessed January 17, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2109.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sulejmanovic, Nedim. “Handgjordasaker.se - Användarcentrerad anpassning.” 2009. Web. 17 Jan 2021.

Vancouver:

Sulejmanovic N. Handgjordasaker.se - Användarcentrerad anpassning. [Internet] [Thesis]. University of Kalmar; 2009. [cited 2021 Jan 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2109.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sulejmanovic N. Handgjordasaker.se - Användarcentrerad anpassning. [Thesis]. University of Kalmar; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2109

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. He, Ruining. Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals.

Degree: Computer Science, 2017, University of California – San Diego

URL: http://www.escholarship.org/uc/item/0c4930p0

► Modeling and predicting user behavior in recommender systems are challenging as there are various types of signals at play. Traditional item recommendation algorithms mainly focus… (more)

Subjects/Keywords: Artificial intelligence; Personalization; Recommender Systems; Relational; Sequential; Visual

…Conference on Recommender Systems, 2016 (“Vista: A Visually, Socially, and Temporally-aware… …ACM Conference on Recommender Systems, 2017 (“Translation-based Recommendation… …contains material as it appears in the ACM Conference on Recommender Systems, 2016 (“Vista… …been submitted for publication in the ACM Conference on Recommender Systems, 2017 (… …Model for Artistic Recommendation. In Proceedings of the ACM Conference on Recommender Systems…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

He, R. (2017). Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/0c4930p0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

He, Ruining. “Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals.” 2017. Thesis, University of California – San Diego. Accessed January 17, 2021. http://www.escholarship.org/uc/item/0c4930p0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

He, Ruining. “Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals.” 2017. Web. 17 Jan 2021.

Vancouver:

He R. Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2021 Jan 17]. Available from: http://www.escholarship.org/uc/item/0c4930p0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

He R. Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/0c4930p0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

29. Gao, Q. User Modeling and Personalization in the Microblogging Sphere.

Degree: 2013, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c

► Microblogging has become a popular mechanism for people to publish, share, and propagate information on the Web. The massive amount of digital traces that people… (more)

▼ Microblogging has become a popular mechanism for people to publish, share, and propagate information on the Web. The massive amount of digital traces that people have left in the microblogging sphere, creates new possibilities and poses challenges for user modeling and personalization. How can microblogging activities be exploited to infer individual users' interests? How can semantically meaningful user profiles be constructed to support different applications? Does the users' microblogging behavior vary between different cultural groups? What is the impact of different user modeling strategies on the characteristics of user profiles and the performance of personalized recommendations? In this thesis, we answer the research questions above and introduce a generic framework that provides a variety of user modeling strategies for inferring individual users' interests from microblogging streams. We propose and evaluate techniques that allow for exploiting external resources to enrich the semantics of short microblogging messages. We explore different approaches for deducing and modeling topics of interests based on enriched microblogging data. Furthermore, we investigate various weighting schemes for constructing user profiles and incorporate temporal constraints into the user modeling process. With flexible design choices, the user modeling framework allows for constructing user profiles which can be consumed in different applications. We apply our user modeling framework to analyze user behavior across cultural groups on microblogging platforms. By exploiting different user characteristics, we unveil key differences in users' microblogging behavior between Chinese and American users. Finally, we analyze and evaluate different user modeling strategies in the context of various personalized recommender systems. The results of our analyses show that the characteristics of user profiles are significantly influenced by different design alternatives. In a set of experiments we reveal that the semantic enrichment of microposts and the consideration of temporal patterns improve the performance of recommender systems. We also prove that the incorporation of public trends and domain specific knowledge into the user modeling process improves the quality of personalized recommendations. Advisors/Committee Members: Houben, G.J.P.M..

Subjects/Keywords: user modeling; personalization; recommender systems; social web; microblog; twitter; sina weibo

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gao, Q. (2013). User Modeling and Personalization in the Microblogging Sphere. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c

Chicago Manual of Style (16^th Edition):

Gao, Q. “User Modeling and Personalization in the Microblogging Sphere.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed January 17, 2021. http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c.

MLA Handbook (7^th Edition):

Gao, Q. “User Modeling and Personalization in the Microblogging Sphere.” 2013. Web. 17 Jan 2021.

Vancouver:

Gao Q. User Modeling and Personalization in the Microblogging Sphere. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2021 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c.

Council of Science Editors:

Gao Q. User Modeling and Personalization in the Microblogging Sphere. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; urn:NBN:nl:ui:24-uuid:0b691916-b2d6-47a1-a637-d038319d7d7c ; http://resolver.tudelft.nl/uuid:0b691916-b2d6-47a1-a637-d038319d7d7c

Université de Grenoble

30. Lacomme, Laurent. Un modèle générique pour les organisations dynamiques en univers multi-agent : A generic model for dynamic organizations in multi-agent systems.

Degree: Docteur es, Informatique, 2011, Université de Grenoble

URL: http://www.theses.fr/2011GRENM067

►

Les systèmes multi-agents (SMA) mettent en relations des entités autonomes, les agents, dont les actes et les interactions participent à la mise en place d'un… (more)

▼

Les systèmes multi-agents (SMA) mettent en relations des entités autonomes, les agents, dont les actes et les interactions participent à la mise en place d'un comportement et d'une fonctionnalité globale du système. La structure et le fonctionnement global du système sont décrits à travers la notion d'organisation : celle-ci regroupe l'ensemble des places occupées par les agents, de leurs relations et de leur importance dans la fonctionnalité attendue du système. Usuellement, ces concepts sont formalisés par des notions empruntées à l'analyse des organisations humaines et animales : rôles, groupes, normes, etc. Cependant, une part importante des organisations des SMA n'est que partiellement décrite par ces notions : la dynamique. En effet, dans les SMA ouverts, dans lesquels des agents, parfois inconnus à la conception du système, peuvent entrer ou sortir de celui-ci à tout instant, et dans les SMA auto-organisés, où la structure du système se forme et se reforme en fonction du contexte, la dynamique des organisations, c'est-à-dire l'analyse de leur évolution au cours du temps, est un champ important qui est difficile à décrire avec les notions de haut-niveau usuellement utilisées pour formaliser les organisations. Ce que nous proposons dans cette thèse est donc un modèle de description des organisations pour les SMA, axé sur la possibilité de décrire une vaste variété de système, à la fois dans leurs aspects statiques et dynamiques. Pour atteindre cela, nous nous appuyons sur une conception émergentiste et calculatoire, et nous créons notre modèle autour de trois éléments statiques typés et de bas-niveau : les agents, les relations et les tâches, et un élément dynamique : les mécanismes organisationnels. Nous proposons ensuite des méthodes descriptives des organisations fondée sur l'agrégation de contraintes sur les systèmes exprimées à partir de ces éléments, ainsi que des méthodes calculatoires destinées à permettre l'extraction de propriétés globales sur les organisations à partir de ces descriptions ; tout cela dans l'optique de fournir une aide méthodologique à la conception et à l'analyse d'organisations pour les SMA. Nous appliquons ensuite l'utilisation de notre modèle sur des applications précises afin de démontrer son intérêt et sa pratique dans la formalisation et dans la comparaison d'organisations dynamiques pour les SMA.

Multiagent systems (MAS) are composed of interacting autonomous entities called agents. Their behaviors and interactions take part in the generation of a global functionality in the system. The notion of organization describes the structural and functional aspects of such systems: it includes the objectives of each agent, the way they can interact and create relationships and their importance in the system's global function. These concepts are usually formalized through notions derived from human and animal organizations: roles, groups, norms… However, an important part of MAS' organization can only be partially described with these notions: dynamics. In open MAS – where agents can…

Advisors/Committee Members: Demazeau, Yves (thesis director), Camps, Valérie (thesis director).

Subjects/Keywords: Assistance à la personne; Confiance; Dynamique; Personnalisation; Réseaux sociaux; Systèmes multi-agents; Personal assistance; Trust; Dynamics; Personalization; Social Networks; Multi-agents Systems; 004

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lacomme, L. (2011). Un modèle générique pour les organisations dynamiques en univers multi-agent : A generic model for dynamic organizations in multi-agent systems. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2011GRENM067

Chicago Manual of Style (16^th Edition):

Lacomme, Laurent. “Un modèle générique pour les organisations dynamiques en univers multi-agent : A generic model for dynamic organizations in multi-agent systems.” 2011. Doctoral Dissertation, Université de Grenoble. Accessed January 17, 2021. http://www.theses.fr/2011GRENM067.

MLA Handbook (7^th Edition):

Lacomme, Laurent. “Un modèle générique pour les organisations dynamiques en univers multi-agent : A generic model for dynamic organizations in multi-agent systems.” 2011. Web. 17 Jan 2021.

Vancouver:

Lacomme L. Un modèle générique pour les organisations dynamiques en univers multi-agent : A generic model for dynamic organizations in multi-agent systems. [Internet] [Doctoral dissertation]. Université de Grenoble; 2011. [cited 2021 Jan 17]. Available from: http://www.theses.fr/2011GRENM067.

Council of Science Editors:

Lacomme L. Un modèle générique pour les organisations dynamiques en univers multi-agent : A generic model for dynamic organizations in multi-agent systems. [Doctoral Dissertation]. Université de Grenoble; 2011. Available from: http://www.theses.fr/2011GRENM067

Open Access Theses and Dissertations