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1.
Tan, Luchen.
Tracking Events in Social Media.
Degree: 2017, University of Waterloo
URL: http://hdl.handle.net/10012/11224 
► Tracking topical events in social media streams, such as Twitter, provides a means for users to keep up-to-date on topics of interest to them. This…
(more)
▼ Tracking topical events in social media streams, such as Twitter, provides a means for users to keep up-to-date on topics of interest to them. This tracking may last a period of days, or even weeks. These events and topics might be provided by users explicitly, or generated for users from selected news articles. Push notification from social media provides a method to push the updates directly to the users on their mobile devices or desktops.
In this thesis, we start with a lexical comparison between carefully edited prose and social media posts, providing an improved understanding of word usage within social media. Compared with carefully edited prose, such as news articles and Wikipedia articles, the language of social media is informal in the extreme. By using word embeddings, we identify words whose usage differs greatly between a Wikipedia corpus and a Twitter corpus.
Following from this work, we explore a general method for developing succinct queries, reflecting the topic of a given news article, for the purpose of tracking the associated news event within a social media stream. A series of probe queries are generated from an initial set of candidate keywords extracted from the article. By analyzing the results of these probes, we rank and trim the candidate set to create a succinct query. The method can also be used for linking and searching among different collections.
Given a query for topical events, push notification to users directly from social media streams provides a method for them to keep up-to-date on topics of personal interest.
We determine that the key to effective notification lies in controlling of update volume, by establishing and maintaining appropriate thresholds for pushing updates. We explore and evaluate multiple threshold setting strategies. Push notifications should be relevant to the personal interest, and timely, with pushes occurring as soon as after the actual event occurrence as possible and novel for providing non-duplicate information. An analysis of existing evaluation metrics for push notification reflects different assumptions regarding user requirements. This analysis leads to a framework that places different weights and penalties on different behaviours and can guide the future development of a family of evaluation metrics that more accurately models user needs.
Throughout the thesis, rank similarity measures are applied to compare rankings generated by various experiments. As a final component, we develop a family of rank similarity metrics based on maximized effectiveness difference, each derived from a traditional information retrieval evaluation measure. Computing this maximized effectiveness difference (MED) requires the solution of an optimization problem that varies in difficulty, depending on the associated measure. We present solutions for several standard effectiveness measures, including nDCG, MAP, and ERR. Through experimental validation, we show that MED reveals meaningful differences between retrieval runs. Mathematically, MED is a…
Subjects/Keywords: Information Retrieval
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APA (6th Edition):
Tan, L. (2017). Tracking Events in Social Media. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11224
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Tan, Luchen. “Tracking Events in Social Media.” 2017. Thesis, University of Waterloo. Accessed March 01, 2021.
http://hdl.handle.net/10012/11224.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Tan, Luchen. “Tracking Events in Social Media.” 2017. Web. 01 Mar 2021.
Vancouver:
Tan L. Tracking Events in Social Media. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10012/11224.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Tan L. Tracking Events in Social Media. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/11224
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rutgers University
2.
Cole, Michael John, 1954-.
Representing the search session process.
Degree: PhD, Communication, Information and Library Studies, 2016, Rutgers University
URL: https://rucore.libraries.rutgers.edu/rutgers-lib/49162/
► Information search is a cognitive process by which users work to satisfy an information need or solve a problem. Information system performance could be improved…
(more)
▼ Information search is a cognitive process by which users work to satisfy an information need or solve a problem. Information system performance could be improved if it had a grounded belief about the user and their goal. To accomplish this, a system needs to recognize and predict user states and aspects of their task, including search intentions. High fidelity representation of user mental states during search would best capture the user situation and presumably allow for better calculation of actions to take to help the user achieve their task goal more quickly and/or with higher quality outcomes. While there is research to infer user search context based on their activity with system, such as page use and query submissions, there has been little work to model user search session actions from a cognitive perspective. The dissertation addresses the development of a framework and methodology to represent some aspects of user information processing states in the information search process by exploiting eye movement patterns in the reading information acquisition process. This work is situated within a user-centered and cognitive model of the entire information seeking session. Information processing states were learned for participants in a user study where tasks were varied by complexity and other factors likely to influence search strategy and tactics. The learned information processing states were examined as patterns of user search actions to investigate whether task differences could be distinguished. In principle, such a model could help to ground system inferences and predictions about the current search state of the user and some aspects of their task goal, i.e. what they are trying to accomplish. The results show tasks can be distinguished using information processing state patterns. The results are discussed and potential for application in personalization and making simulated users considered. Limitations and directions for research are identified.
Advisors/Committee Members: Belkin, Nicholas J. (chair), Wacholder, Nina (internal member), Gwizdka, Jacek (outside member), Stone, Matthew (outside member).
Subjects/Keywords: Information retrieval
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APA (6th Edition):
Cole, Michael John, 1. (2016). Representing the search session process. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49162/
Chicago Manual of Style (16th Edition):
Cole, Michael John, 1954-. “Representing the search session process.” 2016. Doctoral Dissertation, Rutgers University. Accessed March 01, 2021.
https://rucore.libraries.rutgers.edu/rutgers-lib/49162/.
MLA Handbook (7th Edition):
Cole, Michael John, 1954-. “Representing the search session process.” 2016. Web. 01 Mar 2021.
Vancouver:
Cole, Michael John 1. Representing the search session process. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2021 Mar 01].
Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49162/.
Council of Science Editors:
Cole, Michael John 1. Representing the search session process. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49162/
University of Delaware
3.
Wu, Hao.
Improving efficiency and flexibility of information retrieval systems.
Degree: PhD, University of Delaware, Department of Electrical and Computer Engineering, 2016, University of Delaware
URL: http://udspace.udel.edu/handle/19716/17766
► The development of information retrieval (IR) (the search engine) is one of the revolutionary techniques of the past century. It changes the way people communicate…
(more)
▼ The development of
information retrieval (IR) (the search engine) is one of the revolutionary techniques of the past century. It changes the way people communicate and share knowledge, and it frees people up from the hassles of seeking and remembering
information, in addition to saving time and energy that can be used more effectively elsewhere.
As the amount of
information grows exponentially, so do the complexities and the costs. Search-engine efficiency, which is related to user experience and the provider's revenue, becomes more and more important. Existing techniques such as dynamic pruning can help improve the efficiency of IR systems. However they do not solve the whole puzzle and in many situations (e.g. long queries, large number of returned documents and etc.) their improvement of efficiency is far from enough.
To improve the efficiency of query processing, we create an analytical model to explain query processing time of IR systems. This model uses few features and it is more accurate than previous. Inspired by the model, we try to solve various IR efficiency problems. First, to improve the query processing time when k (e.g. the number returned documents) is large, we propose a document prioritizing methods which can better improve efficiency than state-or-art methods without hurting effectiveness. Second, we studied a special case of long query processing called pseudo-relevance feedback and we improve its efficiency by providing a new incremental approach. Third, we further explore the trade-off between efficiency and effectiveness and propose several methods which can improve efficiency at the cost of acceptable effectiveness loss in a time-constrained environment.
In additional to query processing efficiency, we also explore another kind of efficiency: how easily people can implement different search-engines. Current toolkits can help implementing various
retrieval functions with their API -based framework. However their APIs are usually complicated and it is still difficult for inexperienced users to implement
retrieval functions.
To improve this situation, we introduced an
information retrieval toolkit called Virtual IR Lab. When we compared it to existing IR toolkits, it applied a simpler but more efficient architecture. By applying automatic code-generating techniques, the toolkit can help users implement various
retrieval functions conveniently. Its friendly and flexible design makes it a good fit for both education and research.
Advisors/Committee Members: Fang, Hui.
Subjects/Keywords: Information storage and retrieval systems.; Information retrieval.
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APA (6th Edition):
Wu, H. (2016). Improving efficiency and flexibility of information retrieval systems. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/17766
Chicago Manual of Style (16th Edition):
Wu, Hao. “Improving efficiency and flexibility of information retrieval systems.” 2016. Doctoral Dissertation, University of Delaware. Accessed March 01, 2021.
http://udspace.udel.edu/handle/19716/17766.
MLA Handbook (7th Edition):
Wu, Hao. “Improving efficiency and flexibility of information retrieval systems.” 2016. Web. 01 Mar 2021.
Vancouver:
Wu H. Improving efficiency and flexibility of information retrieval systems. [Internet] [Doctoral dissertation]. University of Delaware; 2016. [cited 2021 Mar 01].
Available from: http://udspace.udel.edu/handle/19716/17766.
Council of Science Editors:
Wu H. Improving efficiency and flexibility of information retrieval systems. [Doctoral Dissertation]. University of Delaware; 2016. Available from: http://udspace.udel.edu/handle/19716/17766
University of Otago
4.
Jia, Xiang-Fei.
Approaches to an Efficient and Effective Search Engine
.
Degree: 2013, University of Otago
URL: http://hdl.handle.net/10523/4453
► Information retrieval (IR) is the process of finding relevant information, based on user queries, in a large collection of documents. The two main performance issues…
(more)
▼ Information retrieval (IR) is the process of finding relevant
information, based on user queries, in a large collection of documents. The two main performance issues in IR are effectiveness and efficiency; effectiveness measures how accurately an IR system can find relevant
information, and efficiency relates to how long it takes the IR system to find the relevant
information. To satisfy users, an IR system should find the most relevant
information in as short a time as possible.
When considering efficiency issues, IR systems are interesting because they are neither purely input/output (I/O) intensive nor solely central processing unit (CPU) intensive. Normally, the efficiency of IR is addressed in terms of accumulator initialisation, disc I/O, decompression, ranking and sorting. First, an array of accumulators, holding intermediate aggregated results, has to be initialised. Second, disc I/O is required to read dictionary terms and the corresponding lists of postings. Third, these lists are typically stored in a compressed format, so decompression is required after they are fetched from the disc. Fourth, complex ranking functions are applied to calculate similarity scores between the documents and the user queries. Finally, a large number of possible candidate documents must be sorted so that the most relevant results can be returned to the user.
The objectives of this PhD research were to identify the bottlenecks among the different components of an IR system, provide possible solutions to minimise or eliminate these bottlenecks, and combine the optimised solutions to form a solid baseline for future IR research.
Advisors/Committee Members: Trotman, Andrew (advisor).
Subjects/Keywords: Information Retrieval;
Efficiency
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APA (6th Edition):
Jia, X. (2013). Approaches to an Efficient and Effective Search Engine
. (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/4453
Chicago Manual of Style (16th Edition):
Jia, Xiang-Fei. “Approaches to an Efficient and Effective Search Engine
.” 2013. Doctoral Dissertation, University of Otago. Accessed March 01, 2021.
http://hdl.handle.net/10523/4453.
MLA Handbook (7th Edition):
Jia, Xiang-Fei. “Approaches to an Efficient and Effective Search Engine
.” 2013. Web. 01 Mar 2021.
Vancouver:
Jia X. Approaches to an Efficient and Effective Search Engine
. [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10523/4453.
Council of Science Editors:
Jia X. Approaches to an Efficient and Effective Search Engine
. [Doctoral Dissertation]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/4453
Texas A&M University
5.
Garcia, Brenden Mark.
Private Information Retrieval with Side Information.
Degree: MS, Computer Engineering, 2018, Texas A&M University
URL: http://hdl.handle.net/1969.1/173624
► The objective of the classical Private Information Retrieval (PIR) problem is to enable a user to download a message from a database that is replicated…
(more)
▼ The objective of the classical Private
Information Retrieval (PIR) problem is to enable a user to
download a message from a database that is replicated across a collection of non-colluding servers
without revealing the identity of the demanded message to the servers. In the classical PIR problem
the user has no prior
information about the content of messages in the database. It is easy to verify
in the special case of the PIR problem when there is only one server in the system, the user must
download all messages from the database in order keep
information about the message they want
private.
In a real environment the user may have other sources to download and obtain messages from
such as trusted peer-to-peer communication. In this way, the user has the potential to obtain some
of the messages that are contained in the database to use as side
information in a PIR scheme with
the servers. Accordingly, we introduce the Private
Information Retrieval with Side
Information
(PIR-SI) problem that focuses on settings in which the user has side
information about some messages
in the database. To capture the different levels of privacy a user may want to enforce in
PIR-SI schemes two metrics of privacy, W-privacy and (W,S)-privacy, are introduced. W-privacy
only protects
information about the identity of the message that the user wants and is most similar
to the measure of privacy in the original PIR problem. (W, S)-privacy protects the identity of the
wanted message as well as the identities of the messages they have as side
information and is a
stronger sense of privacy than W-privacy. When enforcing either measure of privacy the user no
longer has to download all the messages in the database, even if there is only one server in the
system; side
information reduces the amount of data that one has to download in a PIR scheme.
The first case of the PIR-SI problem that we consider is when the user has M messages for side
information and wants a different message from the database of K messages. When there is only
one server in the system, we show that the optimal download rate for a W-private scheme is k^-1/M+1
and the optimal download rate for a (W, S)-private scheme is 1/K-M.
When there is more than one
server in the system a W-private scheme is presented that has a larger rate than the classical PIR
scheme, but its optimality is not shown.
The second case of the PIR-SI problem that is considered is when the user has M messages as
side
information, the user wants D > 1 distinct messages from the database, and there is only one
server in the system. In the case when M = 1 a (W, S)-private optimal scheme is presented and
shown to be optimal. In the case when M ≥ D and D = 2 a W-private scheme that can increase
the rate from the (W, S)-private scheme with the same parameters is presented. This scheme’s
optimality reminds an open problem. We highlight the difficulty of finding an optimal scheme and
determining the capacity of the multi-message PIR-SI problem.
Advisors/Committee Members: Sprintson, Alex (advisor), Yan, Catherine (committee member), Hou, I-Hong (committee member).
Subjects/Keywords: Private Information Retrieval
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APA (6th Edition):
Garcia, B. M. (2018). Private Information Retrieval with Side Information. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173624
Chicago Manual of Style (16th Edition):
Garcia, Brenden Mark. “Private Information Retrieval with Side Information.” 2018. Masters Thesis, Texas A&M University. Accessed March 01, 2021.
http://hdl.handle.net/1969.1/173624.
MLA Handbook (7th Edition):
Garcia, Brenden Mark. “Private Information Retrieval with Side Information.” 2018. Web. 01 Mar 2021.
Vancouver:
Garcia BM. Private Information Retrieval with Side Information. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1969.1/173624.
Council of Science Editors:
Garcia BM. Private Information Retrieval with Side Information. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173624
University of Delaware
6.
Liu, Xitong.
Entity centric information retrieval.
Degree: PhD, University of Delaware, Department of Electrical and Computer Engineering, 2015, University of Delaware
URL: http://udspace.udel.edu/handle/19716/17662
► In the past decade, the prosperity of the World Wide Web has led to fast explosion of information, and there is a long-standing demand on…
(more)
▼ In the past decade, the prosperity of the World Wide Web has led to fast explosion
of
information, and there is a long-standing demand on how to access such a huge
volume of
information effectively and efficiently.
Information Retrieval (IR) aims to
tackle the challenge by exploring approaches to obtain relevant
information items (e.g.,
documents) relevant to a given
information need (e.g., query) from a huge collection
of textual data (e.g., the Web). Named entity (e.g., person, location, product, event,
organization) is a type of term compound widely existing in queries and documents.
Recent advances in
Information Extraction recently make it possible to extract entities
from large volume of free text efficiently, and the research community pays more
attention on exploring whether entities would contribute to the
retrieval effectiveness.
In this thesis, we investigate how to leverage entities to improve
retrieval in
several directions. We start with finding entities with certain semantic relation, which
aims at retrieving entities and their associated attributes to meet user’s
information
need directly. This is different from traditional search paradigm in which only documents
are retrieved. Entity
retrieval is performed by first retrieving a list of documents
and extracting entities from those documents. We propose a novel probabilistic framework
which leverages supporting documents as bridge to model the relevance between
query and entities and rank entities accordingly.
On the other side, we also explore how to leverage entities to improve effectiveness
of ad hoc document
retrieval in two directions. The first direction is entity-centric
query expansion. We find related entities of query, and perform query expansion using
the names and relations of related entities. Significant improvements over several
state-of-the-art feedback models could be observed on multiple data collections. Besides,
we explore another direction: entity-centric relevance modeling. We propose a
novel
retrieval approach, i.e., Latent Entity Space (LES), which models the relevance
by leveraging entity profiles to represent semantic content of documents and queries.
Experimental results over several TREC collections show that LES is effective on capturing
latent semantic content and can significantly improve the search accuracy of
several state-of-the-art
retrieval models for entity-bearing queries.
This thesis presents a series of research efforts on entity centric
information
retrieval in several directions, and reveals promising potential of entities on improving
the
retrieval effectiveness. With the fast curation of high-quality knowledge base, more
information about entities could be easily accessed and integrated into
retrieval models.
We hope our work could serve as guideline for future work on leveraging entities to
improve
information retrieval in more applications.
Advisors/Committee Members: Fang, Hui.
Subjects/Keywords: Information retrieval.; Relevance.
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APA (6th Edition):
Liu, X. (2015). Entity centric information retrieval. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/17662
Chicago Manual of Style (16th Edition):
Liu, Xitong. “Entity centric information retrieval.” 2015. Doctoral Dissertation, University of Delaware. Accessed March 01, 2021.
http://udspace.udel.edu/handle/19716/17662.
MLA Handbook (7th Edition):
Liu, Xitong. “Entity centric information retrieval.” 2015. Web. 01 Mar 2021.
Vancouver:
Liu X. Entity centric information retrieval. [Internet] [Doctoral dissertation]. University of Delaware; 2015. [cited 2021 Mar 01].
Available from: http://udspace.udel.edu/handle/19716/17662.
Council of Science Editors:
Liu X. Entity centric information retrieval. [Doctoral Dissertation]. University of Delaware; 2015. Available from: http://udspace.udel.edu/handle/19716/17662
Rutgers University
7.
Kwon, Hannah, 1980-.
On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory".
Degree: PhD, Communication, Information and Library Studies, 2016, Rutgers University
URL: https://rucore.libraries.rutgers.edu/rutgers-lib/50032/
► If “information” is a central concept for library and information science, then “questions” are fundamental, for information “informs” relative to the question. But research focusing…
(more)
▼ If “information” is a central concept for library and information science, then “questions” are fundamental, for information “informs” relative to the question. But research focusing on questions as a central theoretical concept has been stymied by the paradox of the question, which observes that in order to ask one must know enough to know what one does not know (Flammer, 1981). This dissertation proposes that this paradox results from the limitations of the cognitive approach to questions as indications of individual information need, and that the paradox can be resolved by reframing questions as social epistemological tools of inquiry within knowledge domains. The questions posed by three knowledge domains – neuroscience, literature, and computer engineering – on the common topic of “memory” are analyzed in order to investigate how the domains’ question formulations compare and what the comparisons convey about how to answer and the assumptions upon which question and answer are constructed. A method is developed for identifying the implicit questions that motivate and organize scholarly inquiry by analyzing dissertation abstracts as knowledge products of inquiry. The comparative question analysis of neuroscience, literature, and computer engineering dissertations’ question formulations about “memory” supports the proposition that knowledge domains ask different questions and ask them differently. What they ask, the content of their questions, communicates the indeterminate epistemic situation that each domain has of memory, while the mode of presentation of the question, its form, conveys the epistemic structure of inquiry and the production of knowledge. A social epistemological model of domains’ question formulations is developed that proposes that question content reflects domain ontologies, question form reflects domain epistemologies, and determinations of question relevance reflect domain sociality, which model has implications for document relevance, question negotiation, information retrieval design, and inquiry-based learning.
Advisors/Committee Members: Todd, Ross (chair), Radford, Marie (internal member), Dalbello, Marija (internal member), Zerubavel, Eviatar (outside member).
Subjects/Keywords: Memory; Information retrieval
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APA ·
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APA (6th Edition):
Kwon, Hannah, 1. (2016). On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory". (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50032/
Chicago Manual of Style (16th Edition):
Kwon, Hannah, 1980-. “On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory".” 2016. Doctoral Dissertation, Rutgers University. Accessed March 01, 2021.
https://rucore.libraries.rutgers.edu/rutgers-lib/50032/.
MLA Handbook (7th Edition):
Kwon, Hannah, 1980-. “On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory".” 2016. Web. 01 Mar 2021.
Vancouver:
Kwon, Hannah 1. On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory". [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2021 Mar 01].
Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50032/.
Council of Science Editors:
Kwon, Hannah 1. On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory". [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50032/
University of Zambia
8.
Gwayi, Sarah.
Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia
.
Degree: 2016, University of Zambia
URL: http://dspace.unza.zm:8080/xmlui/handle/123456789/5107
► Information is an important resource that plays a significant role in people’s daily professional and personal lives. One of the concerns of information professionals is…
(more)
▼ Information is an important resource that plays a significant role in people’s daily professional and personal lives. One of the concerns of information professionals is the information seeking behaviour of different target groups of people because an effective information service largely depends on understanding the information seeking behaviour of different target of people. Information seeking behaviour is described as an individual’s way of gathering and obtaining information for personal use, knowledge updating and development. The purpose of this study was to investigate the information needs and information seeking behaviour of teachers in selected secondary schools in Lusaka, Zambia. The main objective of the study was to investigate teachers’ information needs and seeking behaviour while the specific objectives were to determine the information needs of secondary school teachers, to find out their information-seeking behaviour, to establish their most preferred sources of information and to find out the challenges they faced when seeking information. The study was a survey of 8 purposively selected secondary schools comprising a sample size was 175 teachers. The study employed quantitative and qualitative method of data collection. Questionnaires were used to collect data from respondents of which only 154 questionnaires were returned representing a response rate of 88%. Quantitative data was analysed using Statistical Package for Social Sciences version 20 while qualitative data was analysed using content analysis.
The findings of the study revealed that teachers sought information in order to conduct various tasks such as preparing lesson plans, preparing tests and examinations and preparing marking keys. With regard to sources of information the major sources teachers consulted were textbooks and reference books, syllabus documents and test/ examination papers from previous years. The most preferred format of information was print format followed by electronic format and oral format was the least preferred. Teachers became aware of the sources through interaction with colleagues, through education and through research. The study also revealed that teachers used the following communication channels: face to face, the media, the library, social media as well as e-mail. The study furthermore revealed that teachers encountered various challenges when seeking information and the main challenges included inadequate Information Communication Technologies, over enrolment in schools, outdated information resources, lack of library/resource centre and lack of qualified library personnel. The study therefore concluded that teachers have various information needs which are prompted by their work roles and tasks. In the process of meeting their information needs, they consult several sources however; they are most satisfied with textbooks and reference books. Teachers also face various challenges when seeking information which hinder their information seeking process and consequently negatively affect the quality of…
Subjects/Keywords: Information Behaviour;
Information Retrieval
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APA (6th Edition):
Gwayi, S. (2016). Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia
. (Thesis). University of Zambia. Retrieved from http://dspace.unza.zm:8080/xmlui/handle/123456789/5107
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Gwayi, Sarah. “Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia
.” 2016. Thesis, University of Zambia. Accessed March 01, 2021.
http://dspace.unza.zm:8080/xmlui/handle/123456789/5107.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Gwayi, Sarah. “Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia
.” 2016. Web. 01 Mar 2021.
Vancouver:
Gwayi S. Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia
. [Internet] [Thesis]. University of Zambia; 2016. [cited 2021 Mar 01].
Available from: http://dspace.unza.zm:8080/xmlui/handle/123456789/5107.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Gwayi S. Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia
. [Thesis]. University of Zambia; 2016. Available from: http://dspace.unza.zm:8080/xmlui/handle/123456789/5107
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Drexel University
9.
Huang, Zhong.
Biomedical Information Extraction: Mining Disease Associated Genes from Literature.
Degree: 2014, Drexel University
URL: http://hdl.handle.net/1860/4371
► Disease associated gene discovery is a critical step to realize the future of personalized medicine. However empirical and clinical validation of disease associated genes are…
(more)
▼ Disease associated gene discovery is a critical step to realize the future of personalized medicine. However empirical and clinical validation of disease associated genes are time consuming and expensive. In silico discovery of disease associated genes from literature is therefore becoming the first essential step for biomarker discovery to support hypothesis formulation and decision making. Completion of human genome project and advent of high-throughput technology have produced tremendous amount of data, which results in exponential growing of biomedical knowledge deposited in literature database. The sheer quantity of unexplored information causes information overflow for biomedical researchers, and poses big challenge for informatics researchers to address user's information extraction needs. This thesis focused on mining disease associated genes from PubMed literature database using machine learning and graph theory based information extraction (IE) methods. Mining disease associated genes is not trivial and requires pipelines of information extraction steps and methods. Beginning from named entity recognition (NER), the author introduced semantic concept type into feature space for conditional random fields machine learning and demonstrated the effectiveness of the concept feature for disease NER. The effects of domain specific POS tagging, domain specific dictionaries, and named entity encoding scheme on NER performance were also explored. Experimental results show that by combining knowledge base with concept feature space, it can significantly improve the overall disease NER performance. It has also shown that shallow linguistic features of global and local word sequence context can be used with string kernel based supporting vector machine (SVM) for efficient disease-gene relation extraction. Lastly, the disease-associated gene network was constructed by utilizing concept co-occurrence matrix computed from disease focused document collection, and subjected to systematic topology analysis. The gene network was then merged with a seed-gene expanded network to form heterogeneous disease-gene network. The author identified and prioritized disease-associated genes by graph centrality measurements. This novel approach provides a new mean for disease associated gene extraction from large corpora.
Ph.D., Information Studies – Drexel University, 2014
Advisors/Committee Members: Hu, Xiaohua, College of Computing and Informatics.
Subjects/Keywords: Information studies; Bioinformatics; Information retrieval
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APA (6th Edition):
Huang, Z. (2014). Biomedical Information Extraction: Mining Disease Associated Genes from Literature. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4371
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Huang, Zhong. “Biomedical Information Extraction: Mining Disease Associated Genes from Literature.” 2014. Thesis, Drexel University. Accessed March 01, 2021.
http://hdl.handle.net/1860/4371.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Huang, Zhong. “Biomedical Information Extraction: Mining Disease Associated Genes from Literature.” 2014. Web. 01 Mar 2021.
Vancouver:
Huang Z. Biomedical Information Extraction: Mining Disease Associated Genes from Literature. [Internet] [Thesis]. Drexel University; 2014. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1860/4371.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Huang Z. Biomedical Information Extraction: Mining Disease Associated Genes from Literature. [Thesis]. Drexel University; 2014. Available from: http://hdl.handle.net/1860/4371
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rutgers University
10.
Choi, Erik, 1979-.
User motivation and expectation for asking a question in online q&a services.
Degree: PhD, Communication, Information and Library Studies, 2014, Rutgers University
URL: https://rucore.libraries.rutgers.edu/rutgers-lib/45223/
► Online Q&A services are online information sources where people identify their information need, formulate the need in natural language, and interact with one another to…
(more)
▼ Online Q&A services are online
information sources where people identify their
information need, formulate the need in natural language, and interact with one another to receive answers to satisfy their needs. Even though in recent years online Q&A has grown considerably in popularity and impacted people’s
information-seeking behaviors, we still have little understanding of what motivates people to ask a question and what they expect from others with respect to their answers to judge
information quality in the online Q&A environments. The purpose of the dissertation is to understand the motivations and expectations behind questions asking of unknown people in online Q&A services. Therefore, Yahoo! Answers and WikiAnswers were selected as the test beds in the study because these online Q&A services allow people to interact with most likely unknown people via the question-answering processes, yet provide different features of how answers are given to a question. Three research questions are addressed: (1) motivation: what motivates people to ask a question that address their needs in Yahoo! Answers and WikiAnswers?; (2) Expectation: what are an asker’s expectations from other users to fulfill his or her needs when asking questions in Yahoo! Answers and WikiAnswers?; (3) relationship: how do motivations of asking a question relate to expectations of answer content in Yahoo! Answers and WikiAnswers?; and (4) comparison: To what extent are motivations, expectations, and the relationship between motivations and expectations different and/or similar between Yahoo! Answers and WikiAnswers? Cognitive needs such as finding factual
information or seeking others’ opinion or advice were found as the most significant motivational factor that drives people to ask a question. Yet, it was found that other motivational factors (e.g., tension free needs) also played an important role in user motivations for asking a question, depending on peoples’ unique and contextual situations. It was found that when asking a question in online Q&A services, three main expectations were common: (1) looking for quick responses; (2) looking for additional or alternative
information; and (3) looking for accurate or complete
information. Additionally, dynamic relationships between different motivations and expectations for asking a question to seek contextual
information to satisfy their unique situation are presented. The study also identified that there were incidents in which people have more than one motivation and/or expectation for asking a question. Understanding user motivations and expectations could provide a general framework of conceptualizing different contexts and situations of
information needs that drive people into human-to-human interactions for seeking
information within an online Q&A context. The findings from the dissertation have several implications not only to develop better question-answering processes in online Q&A environments, but also to contribute to gain insights into understanding of online
information seeking…
Advisors/Committee Members: Shah, Chirag (chair), Belkin, Nicholas (internal member), Radford, Marie (internal member), Teevan, Jaime (outside member).
Subjects/Keywords: Information retrieval; Information behavior
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Manager
APA (6th Edition):
Choi, Erik, 1. (2014). User motivation and expectation for asking a question in online q&a services. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45223/
Chicago Manual of Style (16th Edition):
Choi, Erik, 1979-. “User motivation and expectation for asking a question in online q&a services.” 2014. Doctoral Dissertation, Rutgers University. Accessed March 01, 2021.
https://rucore.libraries.rutgers.edu/rutgers-lib/45223/.
MLA Handbook (7th Edition):
Choi, Erik, 1979-. “User motivation and expectation for asking a question in online q&a services.” 2014. Web. 01 Mar 2021.
Vancouver:
Choi, Erik 1. User motivation and expectation for asking a question in online q&a services. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2021 Mar 01].
Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45223/.
Council of Science Editors:
Choi, Erik 1. User motivation and expectation for asking a question in online q&a services. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45223/
Rutgers University
11.
Mitsui, Matthew, 1988-.
Adopting a graphical perspective in interactive information retrieval research.
Degree: PhD, Computer Science, 2018, Rutgers University
URL: https://rucore.libraries.rutgers.edu/rutgers-lib/59171/
► Previous work in interactive information retrieval (IIR) has explored the relationships between individuals’ search behavior, the characteristics of their search tasks, and their perceptions of…
(more)
▼ Previous work in interactive information retrieval (IIR) has explored the relationships between individuals’ search behavior, the characteristics of their search tasks, and their perceptions of their tasks, such as perceived topic familiarity and task difficulty. This work ultimately serves goals like personalization and search satisfaction. It is believed that predictions of task characteristics or searcher characteristics from observed behavior can help tailor search experiences to support task completion and search satisfaction. Often, research examines changes in behaviors when one or two characteristics change at a time. It applies methods such as t-tests, ANOVAs, and multivariate regression. This dissertation shows the limitations of this empirical framework. The contribution of this dissertation is in demonstrating that task characteristics, user characteristics, and behaviors should be empirically studied as a network of dependencies. It expands empirical work using graphical modeling, which can uniquely capture phenomena such as mediation and conditional independence. Research questions regarding mediation and conditional independence can hence now be answered with this different framework. This dissertation empirically shows when knowledge about behavior and certain task characteristics can be used to learn about other aspects of the task. It shows how task and user characteristics simultaneously affect behavior while potentially affecting each other. Specifically applying path analysis and Bayesian structure learning, results are shown to agree well with past literature and to also extend our understanding of the information seeking process. This dissertation discusses and shows the benefits and challenges of this modeling approach.
Advisors/Committee Members: Shah, Chirag (chair), Marian, Amelie (internal member), Zhang, Yongfeng (internal member), Yilmaz, Emine (outside member), School of Graduate Studies.
Subjects/Keywords: Information behavior; Information retrieval
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mitsui, Matthew, 1. (2018). Adopting a graphical perspective in interactive information retrieval research. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/59171/
Chicago Manual of Style (16th Edition):
Mitsui, Matthew, 1988-. “Adopting a graphical perspective in interactive information retrieval research.” 2018. Doctoral Dissertation, Rutgers University. Accessed March 01, 2021.
https://rucore.libraries.rutgers.edu/rutgers-lib/59171/.
MLA Handbook (7th Edition):
Mitsui, Matthew, 1988-. “Adopting a graphical perspective in interactive information retrieval research.” 2018. Web. 01 Mar 2021.
Vancouver:
Mitsui, Matthew 1. Adopting a graphical perspective in interactive information retrieval research. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2021 Mar 01].
Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59171/.
Council of Science Editors:
Mitsui, Matthew 1. Adopting a graphical perspective in interactive information retrieval research. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59171/
University of Illinois – Urbana-Champaign
12.
Sehrawat, Nipun.
A study of the impact of global statistics in distributed information retrieval.
Degree: MS, 0112, 2012, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/31920
► Today’s information retrieval systems have to deal with very large data collections and take a distributed approach to achieve scalable retrieval performance. The most widely…
(more)
▼ Today’s
information retrieval systems have to deal with very large data collections and take a distributed approach to achieve scalable
retrieval performance. The most widely used approach, called document-partitioning, is to partition the data among multiple search-nodes, which then index their sub-collection independently and are responsible for scoring documents present in their index, against queries. Most of the famous document scoring functions depend on various global (collection-wide) statistics such as document frequency of terms. However, as search-nodes don’t have access to global-statistics and rely on local (sub-collection-wide) statistics for the purpose of scoring, document-partitioning can result in a degraded
retrieval performance. In this thesis, we study the impact of the lack of global-statistics on the
retrieval performance of a distributed
information retrieval (DIR) system. Our experiments show that the performance, as indicated by multiple measures, degrades as the number of search-nodes are increased. We thus conclude that global-statistics are essential to the
retrieval performance in a distributed setup. Finally, we present a novel scheme for lazy and adaptive dissemination of global-statistics in a document-partitioned DIR system.
Advisors/Committee Members: Zhai, ChengXiang (advisor).
Subjects/Keywords: Distributed Information Retrieval; Global Statistics; Retrieval Performance
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APA (6th Edition):
Sehrawat, N. (2012). A study of the impact of global statistics in distributed information retrieval. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31920
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Sehrawat, Nipun. “A study of the impact of global statistics in distributed information retrieval.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed March 01, 2021.
http://hdl.handle.net/2142/31920.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sehrawat, Nipun. “A study of the impact of global statistics in distributed information retrieval.” 2012. Web. 01 Mar 2021.
Vancouver:
Sehrawat N. A study of the impact of global statistics in distributed information retrieval. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/2142/31920.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sehrawat N. A study of the impact of global statistics in distributed information retrieval. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31920
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Cape Peninsula University of Technology
13.
Uwimana, Iris.
Postgraduate student success rate with free-form information searching
.
Degree: 2017, Cape Peninsula University of Technology
URL: http://etd.cput.ac.za/handle/20.500.11838/2452
► The Internet has become a useful instrument in connecting users, regardless of their geographical locations, and has thus has made the world a small village…
(more)
▼ The Internet has become a useful instrument in connecting users, regardless of their
geographical locations, and has thus has made the world a small village where users can
interact and search for information. Another aspect that has made the Internet popular
amongst users, is its growing popularity as a global resource connecting millions of users
surfing the Web daily, searching for and sharing information. A successful search for
information depends on the user’s ability to search effectively, and this ability is based on
computer competency, knowledge of Information Technology (IT), perceptions of IT usage,
and the demographics of the user. These user’s characteristics tend to influence the overall
user experience. Although the Internet is used by different groups of users to achieve
different objectives of information search, not all of them achieve these objectives.
The main aim of this study was to determine the success rate of post-graduate students
using free-form information searching to find academic reference materials.
Subjects/Keywords: Information literacy;
Information behavior;
Information retrieval
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Manager
APA (6th Edition):
Uwimana, I. (2017). Postgraduate student success rate with free-form information searching
. (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/2452
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Uwimana, Iris. “Postgraduate student success rate with free-form information searching
.” 2017. Thesis, Cape Peninsula University of Technology. Accessed March 01, 2021.
http://etd.cput.ac.za/handle/20.500.11838/2452.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Uwimana, Iris. “Postgraduate student success rate with free-form information searching
.” 2017. Web. 01 Mar 2021.
Vancouver:
Uwimana I. Postgraduate student success rate with free-form information searching
. [Internet] [Thesis]. Cape Peninsula University of Technology; 2017. [cited 2021 Mar 01].
Available from: http://etd.cput.ac.za/handle/20.500.11838/2452.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Uwimana I. Postgraduate student success rate with free-form information searching
. [Thesis]. Cape Peninsula University of Technology; 2017. Available from: http://etd.cput.ac.za/handle/20.500.11838/2452
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Ryerson University
14.
Amin, Tahir.
Application of Laplacian Mixture Model to Image and Video Retrieval.
Degree: 2004, Ryerson University
URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A1921
► In this study we present a new approach to feature extraction for image and video retrieval. A Laplacian mixture model is proposed to model the…
(more)
▼ In this study we present a new approach to feature extraction for image and video
retrieval. A Laplacian mixture model is proposed to model the peaky distributions of the wavelet coefficients. The proposed method extracts a low dimensional feature vector which is very important for the
retrieval efficiency of the system in terms of response time. Although the importance of effective feature set cannot be overemphasized, yet it is very hard to describe image similarity with only low level features. Learning from the user feedback may enhance the system performance significantly. This approach, known as the relevance feedback, is adopted to further improve the efficiency of the system. The system learns from the user input in the form of positive and negative examples. The parameters of the system are modified by the user behavior. The parameters of the Laplacian mixture model are used to represent texture
information of the images. The experimental evaluation indicates the high discriminatory power of the proposed features. The traditional measures of distance between two vectors like city-block or Euclidean are linear in nature. The human visual system does not follow this simple linear model. Therefore, a non-linear approach to the distance measure for defining the similarity between the two images is also explored in this work. It is observed that non-linear modelling of similarity yields more satisfactory performance and increases the
retrieval performance by 7.5 per cent. Video is primarily mult-model, i.e., it contains different media components like audio, speech, visual
information (frames) and caption (text). Traditionally, visual
information is used for the video indexing and
retrieval. The visual contents in the videos are very important; however, in some cases visual
information is not very helpful for finding clues to the events. For example, certain action sequences such as goal events in a soccer game and explosion in a news video are easier to identify in the audio domain than in the visual domain. Since the proposed feature extraction scheme is based on the shape of the wavelet coefficient distribution, therefore it can also be applied to analyze the embedded audio contents of the video. We use audio
information for indexing video clips. A feedback mechanism is also studied to improve the performance of the system.
Advisors/Committee Members: Guan, Ling (Thesis advisor), Zeytinoglu, Mehmet (Thesis advisor).
Subjects/Keywords: Information retrieval
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APA (6th Edition):
Amin, T. (2004). Application of Laplacian Mixture Model to Image and Video Retrieval. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1921
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Amin, Tahir. “Application of Laplacian Mixture Model to Image and Video Retrieval.” 2004. Thesis, Ryerson University. Accessed March 01, 2021.
https://digital.library.ryerson.ca/islandora/object/RULA%3A1921.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Amin, Tahir. “Application of Laplacian Mixture Model to Image and Video Retrieval.” 2004. Web. 01 Mar 2021.
Vancouver:
Amin T. Application of Laplacian Mixture Model to Image and Video Retrieval. [Internet] [Thesis]. Ryerson University; 2004. [cited 2021 Mar 01].
Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1921.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Amin T. Application of Laplacian Mixture Model to Image and Video Retrieval. [Thesis]. Ryerson University; 2004. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1921
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Minnesota
15.
Chittilla, Sai Subramanyam.
Parsing the Wiki collection and snippet
generation.
Degree: MS, Computer science, 2013, University of Minnesota
URL: http://purl.umn.edu/152253
► University of Minnesota M.S. thesis. April 2013. Major: Computer science. Advisor: Dr Donald Crouch. 1 computer file (PDF); vi, 31 pages.
Information Retrieval (IR) is…
(more)
▼ University of Minnesota M.S. thesis. April 2013.
Major: Computer science. Advisor: Dr Donald Crouch. 1 computer file
(PDF); vi, 31 pages.
Information Retrieval (IR) is a feld which deals
with retrieving useful information from large sets of data in
response to a query. Much information in this digital age is stored
in XML format, which associates a structure with a document. Though
IR systems have been used for years to access documents, the field
has greatly expanded with the emergence of the world wide web,
which emphasizes the structure of the data. The amount of data
makes the identification of various portion(s) of a document
difficult; document structure helps in this task. This thesis
describes a retrieval task known as snippet retrieval. A snippet is
the smallest meaningful body of text which can be used to establish
the relevance of the document without actually looking at the
document. The work on snippet retrieval is extended from past work
in focused retrieval, wherein a ranked list of focused elements is
retrieved in response to the user query. The Vector Space Model
provides the framework for retrieval; we use Smart for basic
retrieval functions. Our system for dynamic element retrieval,
Flex, enables us to identify and rank the individual elements of
each hypertext document with respect to the query. We include a
discussion of focusing strategies and the use of focused elements
for snippet generation. Results of our top-ranked 2011 and 2012
Snippet Retrieval track runs are included.
Advisors/Committee Members: Dr Donald Crouch.
Subjects/Keywords: INEX; Information Retrieval; Smart; Snippet
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APA (6th Edition):
Chittilla, S. S. (2013). Parsing the Wiki collection and snippet
generation. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/152253
Chicago Manual of Style (16th Edition):
Chittilla, Sai Subramanyam. “Parsing the Wiki collection and snippet
generation.” 2013. Masters Thesis, University of Minnesota. Accessed March 01, 2021.
http://purl.umn.edu/152253.
MLA Handbook (7th Edition):
Chittilla, Sai Subramanyam. “Parsing the Wiki collection and snippet
generation.” 2013. Web. 01 Mar 2021.
Vancouver:
Chittilla SS. Parsing the Wiki collection and snippet
generation. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2021 Mar 01].
Available from: http://purl.umn.edu/152253.
Council of Science Editors:
Chittilla SS. Parsing the Wiki collection and snippet
generation. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/152253
University of Alberta
16.
Xu, Ying.
A tightness continuum measure of Chinese semantic units, and
its application to information retrieval.
Degree: MS, Department of Computing Science, 2010, University of Alberta
URL: https://era.library.ualberta.ca/files/s7526d466
► Chinese is very different from alphabetical languages such as English, as there are no delimiters between Chinese words. So Chinese segmentation is an important step…
(more)
▼ Chinese is very different from alphabetical languages
such as English, as there are no delimiters between Chinese words.
So Chinese segmentation is an important step for most Chinese
natural language processing (NLP) tasks. We propose a tightness
continuum for Chinese semantic units. The construction of the
continuum is based on statistical informations. Based on this
continuum, sequences can be dynamically segmented, and then that
information can be exploited in a number of information retrieval
tasks. In order to show that our tightness continuum is useful for
NLP tasks, we propose two methods to exploit the tightness
continuum within IR systems. The first method refines the result of
a general Chinese word segmenter. The second method embeds the
tightness value into IR score functions. Experimental results show
that our tightness measure is reasonable and does improve the
performance of IR systems.
Subjects/Keywords: information retrieval; Chinese; Compound
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Xu, Y. (2010). A tightness continuum measure of Chinese semantic units, and
its application to information retrieval. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/s7526d466
Chicago Manual of Style (16th Edition):
Xu, Ying. “A tightness continuum measure of Chinese semantic units, and
its application to information retrieval.” 2010. Masters Thesis, University of Alberta. Accessed March 01, 2021.
https://era.library.ualberta.ca/files/s7526d466.
MLA Handbook (7th Edition):
Xu, Ying. “A tightness continuum measure of Chinese semantic units, and
its application to information retrieval.” 2010. Web. 01 Mar 2021.
Vancouver:
Xu Y. A tightness continuum measure of Chinese semantic units, and
its application to information retrieval. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2021 Mar 01].
Available from: https://era.library.ualberta.ca/files/s7526d466.
Council of Science Editors:
Xu Y. A tightness continuum measure of Chinese semantic units, and
its application to information retrieval. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/s7526d466
University of Alberta
17.
Mohajeri, Saeed.
BubbleNet: An Interactive Interface for Retrieving
Documents.
Degree: MS, Department of Computing Science, 2013, University of Alberta
URL: https://era.library.ualberta.ca/files/js956f87b
► As the size of the World Wide Web and the type of documents it holds grow, the need for tools helping users to find their…
(more)
▼ As the size of the World Wide Web and the type of
documents it holds grow, the need for tools helping users to find
their required information becomes more increasingly important.
There are several ways to summarize, navigate through or retrieve
documents on the web, such as query-based search and tag clouds;
but neither are sufficient for both getting a summary and finding
desired documents. In this thesis, we introduce BubbleNet: a new
interface that helps users to get an overview of document
collections and explore them by providing an interactive network of
topics, their semantic relationships and their related documents.
Our experiments show that BubbleNet gives a better overview, is
faster and more useful in certain information retrieval
tasks.
Subjects/Keywords: Information Retrieval; BubbleNet; Interface
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APA (6th Edition):
Mohajeri, S. (2013). BubbleNet: An Interactive Interface for Retrieving
Documents. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/js956f87b
Chicago Manual of Style (16th Edition):
Mohajeri, Saeed. “BubbleNet: An Interactive Interface for Retrieving
Documents.” 2013. Masters Thesis, University of Alberta. Accessed March 01, 2021.
https://era.library.ualberta.ca/files/js956f87b.
MLA Handbook (7th Edition):
Mohajeri, Saeed. “BubbleNet: An Interactive Interface for Retrieving
Documents.” 2013. Web. 01 Mar 2021.
Vancouver:
Mohajeri S. BubbleNet: An Interactive Interface for Retrieving
Documents. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Mar 01].
Available from: https://era.library.ualberta.ca/files/js956f87b.
Council of Science Editors:
Mohajeri S. BubbleNet: An Interactive Interface for Retrieving
Documents. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/js956f87b
Vanderbilt University
18.
Aphinyanaphongs, Yindalon.
Identifying high quality MEDLINE articles and web sites using machine learning.
Degree: PhD, Biomedical Informatics, 2007, Vanderbilt University
URL: http://hdl.handle.net/1803/15196
► In this dissertation, I explore the applicability of text categorization machine learning methods to identify clinically pertinent and evidence-based articles in the literature and web…
(more)
▼ In this dissertation, I explore the applicability of text categorization machine learning methods to identify clinically pertinent and evidence-based articles in the literature and web pages on the internet. In the first series of experiments, I found that text categorization techniques identify high quality articles in internal medicine in the content categories of prognosis, diagnosis, etiology, and treatment better than the Clinical Query Filters of Pubmed. In a second set of experiments, I established that the text categorization models generalized both to time periods outside the training set and to areas outside of internal medicine including pediatrics, oncology, and surgery. My third set of experiments revealed that text categorization models built for a specific purpose identified articles better than both bibliometric (number of citations and impact factor) and web-based measures (Google PageRank, Yahoo WebRanks, and total web page hit count). In the fourth set of experiments, I built models for purpose, format, and additional content categories from a labeled gold standard that have high discriminatory power. Furthermore, we built a system called EBMSearch that implements these models to all of MEDLINE. Finally I extended these methods to the web and built the first validated models that identify websites that make false cancer treatment claims outperforming previous unvalidated models and PageRank by 30% area under the receiver operating curve. In conclusion, machine learning-based text categorization methods provide a powerful framework for identifying clinically applicable articles in the medical literature and the Internet.
Advisors/Committee Members: Douglas Hardin (committee member), Ioannis Tsamardinos (committee member), Steven Brown (committee member), Dan Masys (committee member), Constantin Aliferis (Committee Chair).
Subjects/Keywords: information retrieval
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APA ·
Chicago ·
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to Zotero / EndNote / Reference
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APA (6th Edition):
Aphinyanaphongs, Y. (2007). Identifying high quality MEDLINE articles and web sites using machine learning. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15196
Chicago Manual of Style (16th Edition):
Aphinyanaphongs, Yindalon. “Identifying high quality MEDLINE articles and web sites using machine learning.” 2007. Doctoral Dissertation, Vanderbilt University. Accessed March 01, 2021.
http://hdl.handle.net/1803/15196.
MLA Handbook (7th Edition):
Aphinyanaphongs, Yindalon. “Identifying high quality MEDLINE articles and web sites using machine learning.” 2007. Web. 01 Mar 2021.
Vancouver:
Aphinyanaphongs Y. Identifying high quality MEDLINE articles and web sites using machine learning. [Internet] [Doctoral dissertation]. Vanderbilt University; 2007. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1803/15196.
Council of Science Editors:
Aphinyanaphongs Y. Identifying high quality MEDLINE articles and web sites using machine learning. [Doctoral Dissertation]. Vanderbilt University; 2007. Available from: http://hdl.handle.net/1803/15196
University of Illinois – Urbana-Champaign
19.
Jiang, Bingjie.
CLAIRE: A cloud-based lab for information retrieval.
Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/101229
► Over the past decades, information retrieval has been widely studied due to its importance in people’s everyday life. However, how to train students with assignments…
(more)
▼ Over the past decades,
information retrieval has been widely studied due to its importance in people’s everyday life. However, how to train students with assignments using large- scale real-world datasets is a significant challenge. In this thesis, we address this challenge by proposing CLAIRE, a novel cloud-based virtual lab which is beneficial to
Information Retrieval (IR) educators, learners and researchers. Following the common routine of learning or conducting research on IR models, CLAIRE provides support in three key phases. In the phase of implementation, CLAIRE provides an interactive way to create new IR models from scratch as well as from existing parameterized models. It then offers the environment for evaluating these IR models over real-world datasets without having to move around the large- size datasets. With the tightly connected implementation and evaluation phases, CLAIRE further enables the analysis of performances of different IR models, including parameter sensitivity analysis and query-wise comparison. Models can also be instantly turned into a search engine application. Leveraging the scaling power of CLaDS[1], CLAIRE is further capable of supporting tasks that involve large datasets conducted by a large number of users at a relatively low cost.
Advisors/Committee Members: Zhai, Chengxiang (advisor).
Subjects/Keywords: Information Retrieval; Virtual Lab
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APA (6th Edition):
Jiang, B. (2018). CLAIRE: A cloud-based lab for information retrieval. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101229
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Jiang, Bingjie. “CLAIRE: A cloud-based lab for information retrieval.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed March 01, 2021.
http://hdl.handle.net/2142/101229.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jiang, Bingjie. “CLAIRE: A cloud-based lab for information retrieval.” 2018. Web. 01 Mar 2021.
Vancouver:
Jiang B. CLAIRE: A cloud-based lab for information retrieval. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/2142/101229.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jiang B. CLAIRE: A cloud-based lab for information retrieval. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101229
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Illinois – Urbana-Champaign
20.
Yu, Xiaofo.
Design and implementation of the search engine module in colds.
Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/101370
► This thesis describes the design and implementation of the search engine module in a novel Cloud-based Open Lab for Data Science (COLDS) system. COLDS is…
(more)
▼ This thesis describes the design and implementation of the search engine module in a novel Cloud-based Open Lab for Data Science (COLDS) system. COLDS is a general infrastructure system to support data science programming assignments on the cloud that is currently being developed at the University of Illinois at Urbana-Champaign in collaboration with Microsoft and Intel with Azure grant support from Microsoft and a gift fund support from Intel. The annotation subsystem of COLDS is responsible for helping instructors design flexible annotation tasks and straightforward annotation of data sets using search engine results. The function of the search engine module in the annotation subsystem of COLDS includes allowing instructors to upload customized data sets, building inverted index for data sets to support fast query and selecting ranking functions with customized parameters to perform query and get a ranked list of results. The thesis describes the design and implementation of the search engine module, including specifically its data set uploading and configuration procedure, indexing of data set, storage of the data set and index, and ranking and querying with selected method, parameters and data set. This thesis also describes the background, related work, challenges and future work of COLDS and its annotation subsystem.
Advisors/Committee Members: Zhai, Chengxiang (advisor).
Subjects/Keywords: Information Retrieval; Crowdsourcing; Online Education
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APA ·
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Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Yu, X. (2018). Design and implementation of the search engine module in colds. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101370
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Yu, Xiaofo. “Design and implementation of the search engine module in colds.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed March 01, 2021.
http://hdl.handle.net/2142/101370.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Yu, Xiaofo. “Design and implementation of the search engine module in colds.” 2018. Web. 01 Mar 2021.
Vancouver:
Yu X. Design and implementation of the search engine module in colds. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/2142/101370.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Yu X. Design and implementation of the search engine module in colds. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101370
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Anna University
21.
Sridevi U K.
Ontology based optimization techniques for information
retrieval;.
Degree: 2014, Anna University
URL: http://shodhganga.inflibnet.ac.in/handle/10603/15038
► Searching the Web has become more challenging due to the rapid growth in information. The documents contain much valuable knowledge about a particular domain. The…
(more)
▼ Searching the Web has become more challenging due
to the rapid growth in information. The documents contain much
valuable knowledge about a particular domain. The ontology can be
used as main resource to understand the textual information
contained within the documents. The objective of the research is to
define a model for the annotation and retrieval using optimization
techniques. This research shows how to apply ontology based
annotation method to improve the retrieval. The quality of the
solution obtained can be improved by using annotated weights and
optimized clustering algorithm. Another objective is to extract
relevant concept from the corpus. The ontology population generates
the new instance and results in the semantic annotation of
document. The main goal of information extraction is to retrieve
the relevant information from the document and to create an
instance of ontology. The main goal of ontology-driven information
retrieval is to enhance search by making use of available semantic
annotations and their underlining ontologies. The objective of the
particle swarm optimization clustering algorithm is to discover the
proper centroids of clusters for minimizing the intra-cluster
distance as well as maximizing the distance between clusters. This
study investigates the application of fuzzy particle swarm
optimization in document clustering. The main objective is to apply
the fuzzy particle swarm optimization clustering method on the
semantically annotated documents. A fuzzy particle swarm
optimization combined with ontology model of clustering knowledge
documents is presented and compared to the traditional vector space
model. It also overcomes the problems existing in the vector space
model commonly used for clustering. The proposed ontology framework
provides improved performance and better clustering compared to the
traditional vector space model. The increase in F-measure is
achieved when ontology as the distance measure in fuzzy particle
swarm optimization. The improvement of 11% is achieved by
ont
Appendix 1; pp. 118-124
Advisors/Committee Members: Nagaveni, N..
Subjects/Keywords: Ontology; optimization techniques; information
retrieval
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
K, S. U. (2014). Ontology based optimization techniques for information
retrieval;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/15038
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
K, Sridevi U. “Ontology based optimization techniques for information
retrieval;.” 2014. Thesis, Anna University. Accessed March 01, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/15038.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
K, Sridevi U. “Ontology based optimization techniques for information
retrieval;.” 2014. Web. 01 Mar 2021.
Vancouver:
K SU. Ontology based optimization techniques for information
retrieval;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 01].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15038.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
K SU. Ontology based optimization techniques for information
retrieval;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15038
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Anna University
22.
Jacinth salome J.
Performance issues in genetic Information
retrieval;.
Degree: Performance issues in genetic Information
retrieval, 2015, Anna University
URL: http://shodhganga.inflibnet.ac.in/handle/10603/35492
► Information retrieval IR systems are responsible for retrieval of large newlineamounts of data in an efficient manner The information retrieval task deals with newlineretrieving data…
(more)
▼ Information retrieval IR systems are responsible
for retrieval of large newlineamounts of data in an efficient
manner The information retrieval task deals with newlineretrieving
data stored within the repositories in response to a user s
information newlineneeds For this type of retrieval system a
performance system is necessary This newlineresearch explores the
data mining techniques in order to identify the one that will
newlineoffer the best performance in application to bioinformatics
that will respond to newlinegenetic information Data mining has
been exploited to retrieve the valuable newlineinformation in a
wide spread fields especially in DNA microarray technology
newlineThe DNA microarray technology produces a huge amount of gene
data newlineexpression levels of thousands of genes for a very few
samples newlineInitially performance issues for information
retrieval in the field of newlinemicroarray gene data are analyzed
The information retrieval metrics like accuracy newlinesensitivity
specificity are to be increased and error rate is to be reduced As
a first newlineprocess in gene classification the high
dimensionality of the microarray gene data newlineis reduced using
LPP The LPP is chosen for the dimensionality reduction because
newlineof its ability of preserving locality of neighborhood
relationship Secondly SVM newlinehas been trained for effectual
gene classification SVM has the ability to learn with newlinevery
few samples and so it is selected SVM ensemble was utilized for the
newlineclassification process in order to classify more than a
single class newline
appendix p166-182, reference
p183-189.
Advisors/Committee Members: Suresh R M.
Subjects/Keywords: Information retrieval; Principal Component Analysis
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APA ·
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to Zotero / EndNote / Reference
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APA (6th Edition):
J, J. s. (2015). Performance issues in genetic Information
retrieval;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35492
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
J, Jacinth salome. “Performance issues in genetic Information
retrieval;.” 2015. Thesis, Anna University. Accessed March 01, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/35492.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
J, Jacinth salome. “Performance issues in genetic Information
retrieval;.” 2015. Web. 01 Mar 2021.
Vancouver:
J Js. Performance issues in genetic Information
retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Mar 01].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35492.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
J Js. Performance issues in genetic Information
retrieval;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35492
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Anna University
23.
Vinoth kumar M.
Intelligent agents for extracting Interesting information
using mining Algorithm;.
Degree: Intelligent agents for extracting Interesting
information using mining Algorithm, 2015, Anna University
URL: http://shodhganga.inflibnet.ac.in/handle/10603/50226
► Information extraction from the internet is one of the growing newlineresearch fields due to the uncontrollable fast growth of internet It mainly newlinehelps to process…
(more)
▼ Information extraction from the internet is one of
the growing newlineresearch fields due to the uncontrollable fast
growth of internet It mainly newlinehelps to process and analyse
the large volume of data on the internet Similar newlineto an
Information Retrieval IR system an Information extraction system
newlineresponds to a user s Information needs Whereas an IR system
identifies a newlinesubset of document in a large text database an
Information extraction system newlineidentifies a subset of
information within the document The maximum number newlineof web
pages contains the Information in the form of text Like commercial
newlinedatabases social government business and research web pages
mainly newlinecontains text as a main content Extracting
Information about a specific topic newlinein sequence is an
essential thing to get the entire idea about the topic which
newlinewe are searching about a topic in internet We will not get
the Information newlineabout the topic in sequential order from the
internet and we may get confusion newlineabout the order of
Information occurrences newlineThis research focuses on extraction
of exact text data as important newlineInformation in which
analyses and processes the data from different web newlinepages and
stimulates it as single and sequential Information This work
newlinemainly proposes an approach called mining algorithm and an
intelligent agent newlinefor extraction of Information from the
internet The intelligent agent is an newlineindependent entity that
functions depends on the environment and directs its
newlineactivity to achieve the goal newline
newline
reference p108-116.
Advisors/Committee Members: Tholkappia arasu G.
Subjects/Keywords: Commercial databases; Information Retrieval
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APA ·
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to Zotero / EndNote / Reference
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APA (6th Edition):
M, V. k. (2015). Intelligent agents for extracting Interesting information
using mining Algorithm;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/50226
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
M, Vinoth kumar. “Intelligent agents for extracting Interesting information
using mining Algorithm;.” 2015. Thesis, Anna University. Accessed March 01, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/50226.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
M, Vinoth kumar. “Intelligent agents for extracting Interesting information
using mining Algorithm;.” 2015. Web. 01 Mar 2021.
Vancouver:
M Vk. Intelligent agents for extracting Interesting information
using mining Algorithm;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Mar 01].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/50226.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
M Vk. Intelligent agents for extracting Interesting information
using mining Algorithm;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/50226
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Queensland University of Technology
24.
Koopman, Bevan Raymond.
Semantic search as inference : applications in health informatics.
Degree: 2014, Queensland University of Technology
URL: https://eprints.qut.edu.au/71385/
This thesis developed new search engine models that elicit the meaning behind the words found in documents and queries, rather than simply matching keywords. These new models were applied to searching medical records: an area where search is particularly challenging yet can have significant benefits to our society.
Subjects/Keywords: Information Retrieval; Semantic Search; Health Informatics; Medical Information Retrieval; Information Retrieval Inference; Graph-based Information Retrieval; ODTA
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Koopman, B. R. (2014). Semantic search as inference : applications in health informatics. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/71385/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Koopman, Bevan Raymond. “Semantic search as inference : applications in health informatics.” 2014. Thesis, Queensland University of Technology. Accessed March 01, 2021.
https://eprints.qut.edu.au/71385/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Koopman, Bevan Raymond. “Semantic search as inference : applications in health informatics.” 2014. Web. 01 Mar 2021.
Vancouver:
Koopman BR. Semantic search as inference : applications in health informatics. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2021 Mar 01].
Available from: https://eprints.qut.edu.au/71385/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Koopman BR. Semantic search as inference : applications in health informatics. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/71385/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Oregon State University
25.
Oberst, Ian.
On feature relevance feedback methods : incorporating labeled user features.
Degree: MS, Computer Science, 2010, Oregon State University
URL: http://hdl.handle.net/1957/17411
► In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature…
(more)
▼ In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature relevance feedback has the potential to dramatically increase classification performance. We review previous work on incorporating feature relevance feedback in the form of labeled features and introduce a new method, the Feature Contrast Method, for using feature relevance feedback with locally weighted logistic regression. We show that our method is responsive to user feedback and significantly outperforms previously developed feature relevance feedback methods while remaining robust to noise in feature and training data. We also highlight several key issues that affect the performance of feature feedback methods.
Advisors/Committee Members: Wong, Weng-Keen (advisor), Dietterich, Thomas (committee member).
Subjects/Keywords: feature relevance feedback; Information retrieval
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APA (6th Edition):
Oberst, I. (2010). On feature relevance feedback methods : incorporating labeled user features. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/17411
Chicago Manual of Style (16th Edition):
Oberst, Ian. “On feature relevance feedback methods : incorporating labeled user features.” 2010. Masters Thesis, Oregon State University. Accessed March 01, 2021.
http://hdl.handle.net/1957/17411.
MLA Handbook (7th Edition):
Oberst, Ian. “On feature relevance feedback methods : incorporating labeled user features.” 2010. Web. 01 Mar 2021.
Vancouver:
Oberst I. On feature relevance feedback methods : incorporating labeled user features. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1957/17411.
Council of Science Editors:
Oberst I. On feature relevance feedback methods : incorporating labeled user features. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/17411
Oregon State University
26.
Oman, Paul W.
Personalized information management systems with tutorial capabilities.
Degree: MS, Computer Science, 1979, Oregon State University
URL: http://hdl.handle.net/1957/42611
► Technological advances of the last three decades have caused an enormous increase in the amount of published and unpublished information generated by our society. This…
(more)
▼ Technological advances of the last three decades have caused an
enormous increase in the amount of published and unpublished
information
generated by our society. This inflation has created the need
for improved
information management systems. Existing systems are
inadequate primarily because they are discipline-oriented and lack the
flexibility that is necessary in man-machine communication. Personalized
Information Management Systems (PIMS) with a complete range of
interactive data management functions and tutorial capabilities need
to be developed. An attempt to convert FAMULUS, an existing bibliographic
search and
retrieval system, into a PIMS indicates that
inclusion of tutorials and other interactive functions is feasible.
Advisors/Committee Members: Bregar, William S. (advisor).
Subjects/Keywords: Information retrieval
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APA (6th Edition):
Oman, P. W. (1979). Personalized information management systems with tutorial capabilities. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/42611
Chicago Manual of Style (16th Edition):
Oman, Paul W. “Personalized information management systems with tutorial capabilities.” 1979. Masters Thesis, Oregon State University. Accessed March 01, 2021.
http://hdl.handle.net/1957/42611.
MLA Handbook (7th Edition):
Oman, Paul W. “Personalized information management systems with tutorial capabilities.” 1979. Web. 01 Mar 2021.
Vancouver:
Oman PW. Personalized information management systems with tutorial capabilities. [Internet] [Masters thesis]. Oregon State University; 1979. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1957/42611.
Council of Science Editors:
Oman PW. Personalized information management systems with tutorial capabilities. [Masters Thesis]. Oregon State University; 1979. Available from: http://hdl.handle.net/1957/42611
University of Delaware
27.
Ravichandran, Praveen.
Novelty and diversity in search results.
Degree: PhD, University of Delaware, Department of Computer and Information Sciences, 2014, University of Delaware
URL: http://udspace.udel.edu/handle/19716/16777
► Information retrieval (IR) is the process of obtaining relevant information for a given information need. The concept of relevance and its relation to information needs…
(more)
▼ Information retrieval (IR) is the process of obtaining relevant
information for a given
information need. The concept of relevance and its relation to
information needs is of central concern to IR researchers. Until recently, much work in IR settled with a notion of relevance that is topical – that is, containing
information "about" a specified topic – and in which the relevance of a document in a ranking is independent of the relevance of other documents in the ranking. But such an approach is more likely to produce a ranking with a high degree of redundancy; the amount of novel
information available to the user may be minimal as they traverse down a ranked list. In this work, we focus on the novelty and diversity problem that models rele- vance of a document taking into account the inter-document effects in a ranked list and diverse
information needs for a given query. Existing approaches to this problem mostly rely on identifying subtopics (disambiguation, facets, or other component parts) of an
information need, then estimating a document's relevance independently w.r.t each subtopic. Users are treated as being satisfied by a ranking of documents that covers the space of subtopics as well as covering each individual subtopic sufficiently. We propose a novel approach that models novelty implicitly while retaining the ability to capture other important factors affecting user satisfaction. We formulate a set of hypotheses based on the existing subtopic approach and test them with actual users using a simple conditional preference design: users express a preference for document A or document B given document C. Following this, we introduce a novel triplet framework for collecting such preference judgments and using them to estimate the total utility of a document while taking inter-document effects into account. Finally, a set of utility-based metrics are proposed and validated to measure the effectiveness of a system for the novelty and diversity task.
Advisors/Committee Members: Carterette, Benjamin A..
Subjects/Keywords: Information retrieval.; Database searching.
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APA (6th Edition):
Ravichandran, P. (2014). Novelty and diversity in search results. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/16777
Chicago Manual of Style (16th Edition):
Ravichandran, Praveen. “Novelty and diversity in search results.” 2014. Doctoral Dissertation, University of Delaware. Accessed March 01, 2021.
http://udspace.udel.edu/handle/19716/16777.
MLA Handbook (7th Edition):
Ravichandran, Praveen. “Novelty and diversity in search results.” 2014. Web. 01 Mar 2021.
Vancouver:
Ravichandran P. Novelty and diversity in search results. [Internet] [Doctoral dissertation]. University of Delaware; 2014. [cited 2021 Mar 01].
Available from: http://udspace.udel.edu/handle/19716/16777.
Council of Science Editors:
Ravichandran P. Novelty and diversity in search results. [Doctoral Dissertation]. University of Delaware; 2014. Available from: http://udspace.udel.edu/handle/19716/16777
Delft University of Technology
28.
Radja, Priyanka (author).
Dealing with Ties in Rank Correlation.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:a5707829-748b-405c-b99e-0d0ee0e63a38
► In the field of Information Retrieval (IR), rankings of systems evaluated under different conditions are often compared to each other. This measure of correspondence between…
(more)
▼ In the field of Information Retrieval (IR), rankings of systems evaluated under different conditions are often compared to each other. This measure of correspondence between rankings, termed as rank correlation, must accurately capture the scenario for which the correlation is computed. Very often, these rankings may have tied systems, for which new correlation coefficients arise. It is important that these coefficients account for the new scenarios in the presence of ties. It is also important that these coefficients provide some flexibility to the person performing the correlation to introduce artificial ties when items are so close to each other that, for practical purposes, they may be considered as tied. Accounting for these different scenarios of tied items in rankings permits performing per topic comparisons of IR systems, which was earlier limited due to the presence of ties on individual topics. Comparing rankings at the topic level, the expected variability of the rankings can be studied to potentially improve the systems on the topics for which they perform poorer than average. We show the application of these new correlation coefficients with two typical IR experiments.
Computer Science | Multimedia Computing
Advisors/Committee Members: Urbano Merino, Julian (mentor), Hanjalic, Alan (graduation committee), van Gemert, Jan (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Information Retrieval; Rank Correlation; Ties
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APA ·
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MLA ·
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APA (6th Edition):
Radja, P. (. (2018). Dealing with Ties in Rank Correlation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a5707829-748b-405c-b99e-0d0ee0e63a38
Chicago Manual of Style (16th Edition):
Radja, Priyanka (author). “Dealing with Ties in Rank Correlation.” 2018. Masters Thesis, Delft University of Technology. Accessed March 01, 2021.
http://resolver.tudelft.nl/uuid:a5707829-748b-405c-b99e-0d0ee0e63a38.
MLA Handbook (7th Edition):
Radja, Priyanka (author). “Dealing with Ties in Rank Correlation.” 2018. Web. 01 Mar 2021.
Vancouver:
Radja P(. Dealing with Ties in Rank Correlation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 01].
Available from: http://resolver.tudelft.nl/uuid:a5707829-748b-405c-b99e-0d0ee0e63a38.
Council of Science Editors:
Radja P(. Dealing with Ties in Rank Correlation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:a5707829-748b-405c-b99e-0d0ee0e63a38
Virginia Tech
29.
Muthiah, Sathappan.
Forecasting Protests by Detecting Future Time Mentions in News and Social Media.
Degree: MS, Computer Science and Applications, 2014, Virginia Tech
URL: http://hdl.handle.net/10919/49535
► Civil unrest (protests, strikes, and ``occupy'' events) is a common occurrence in both democracies and authoritarian regimes. The study of civil unrest is a key…
(more)
▼ Civil unrest (protests, strikes, and ``occupy'' events) is a common occurrence in both democracies and authoritarian regimes. The study of civil unrest is a key topic for political scientists as it helps capture an important mechanism by which citizenry express themselves. In countries where civil unrest is lawful, qualitative analysis has revealed that more than 75% of the protests are planned, organized, and/or announced in advance; therefore detecting future time mentions in relevant news and social media is a simple way to develop a protest forecasting system. We develop such a system in this thesis, using a combination of key phrase learning to identify what to look for, probabilistic soft logic to reason about location occurrences in extracted results, and time normalization to resolve future tense mentions. We illustrate the application of our system to 10 countries in Latin America, viz. Argentina, Brazil, Chile, Colombia, Ecuador, El Salvador, Mexico, Paraguay, Uruguay, and Venezuela. Results demonstrate our successes in capturing significant societal unrest in these countries with an average lead time of 4.08 days. We also study the selective superiorities of news media versus social media (Twitter, Facebook) to identify relevant tradeoffs.
Advisors/Committee Members: Ramakrishnan, Naren (committeechair), Lu, Chang Tien (committee member), Katz, E. Graham (committee member).
Subjects/Keywords: Textmining; Information Retrieval; Social Media
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Muthiah, S. (2014). Forecasting Protests by Detecting Future Time Mentions in News and Social Media. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49535
Chicago Manual of Style (16th Edition):
Muthiah, Sathappan. “Forecasting Protests by Detecting Future Time Mentions in News and Social Media.” 2014. Masters Thesis, Virginia Tech. Accessed March 01, 2021.
http://hdl.handle.net/10919/49535.
MLA Handbook (7th Edition):
Muthiah, Sathappan. “Forecasting Protests by Detecting Future Time Mentions in News and Social Media.” 2014. Web. 01 Mar 2021.
Vancouver:
Muthiah S. Forecasting Protests by Detecting Future Time Mentions in News and Social Media. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10919/49535.
Council of Science Editors:
Muthiah S. Forecasting Protests by Detecting Future Time Mentions in News and Social Media. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49535
University of Illinois – Urbana-Champaign
30.
Wang, Curtis.
iKNOWx Forum Search: a system for case retrieval in online medical forums.
Degree: MS, 0112, 2013, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/44483
► This thesis describes a novel retrieval model for case retrieval from online medical forums. This model uses semantic query weighting to obtain a more accurate…
(more)
▼ This thesis describes a novel
retrieval model for case
retrieval from online medical forums. This model uses semantic query weighting to obtain a more accurate representation of a case query. Semantic query weighting involves identifying descriptive words, such as those describing symptoms or medi- cation, and weighting those terms more heavily during the scoring process while simultaneously lowering the weight of less important words. Our ex- perimental results show that by adding semantic query weighting to Okapi BM25, we are able to achieve, on average, better search performance when compared with the standard BM25 model. For example, precision at 5 was improved by 8.5% while recall at 100 was improved by 5.31%.
In addition, we describe in detail the techniques required to build a medical forum search engine using the iKNOWx Forum Search
retrieval model, which would allow a user to search medical forums for thread discussions that are similar to an input query case. Such a system would be useful in many ways. It can help inform users so they can decide on a best course of action when sick, potentially saving both time and money on healthcare costs. Also, it can easily integrate threads from multiple medical forums, allowing an easy way for users to aggregate
information from various sources.
Advisors/Committee Members: Zhai, ChengXiang (advisor).
Subjects/Keywords: Information Retrieval; Search Engine; Medicine
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APA ·
Chicago ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, C. (2013). iKNOWx Forum Search: a system for case retrieval in online medical forums. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44483
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wang, Curtis. “iKNOWx Forum Search: a system for case retrieval in online medical forums.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed March 01, 2021.
http://hdl.handle.net/2142/44483.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wang, Curtis. “iKNOWx Forum Search: a system for case retrieval in online medical forums.” 2013. Web. 01 Mar 2021.
Vancouver:
Wang C. iKNOWx Forum Search: a system for case retrieval in online medical forums. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/2142/44483.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wang C. iKNOWx Forum Search: a system for case retrieval in online medical forums. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44483
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
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Open Access Theses and Dissertations
