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You searched for subject:(Content based filtering). Showing records 1 – 30 of 32 total matches.

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George Mason University

1. Jeong, Hanjo. Hybrid filtering in Semantic Query Processing .

Degree: 2011, George Mason University

 This dissertation presents a hybrid filtering method and a case-based reasoning framework for enhancing the effectiveness of Web search. Web search may not reflect user… (more)

Subjects/Keywords: hybrid filtering; collaborative filtering; content-based filtering; semantic web; information search; ontology

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

APA (6th Edition):

Jeong, H. (2011). Hybrid filtering in Semantic Query Processing . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6313

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):

Jeong, Hanjo. “Hybrid filtering in Semantic Query Processing .” 2011. Thesis, George Mason University. Accessed December 03, 2020. http://hdl.handle.net/1920/6313.

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

MLA Handbook (7th Edition):

Jeong, Hanjo. “Hybrid filtering in Semantic Query Processing .” 2011. Web. 03 Dec 2020.

Vancouver:

Jeong H. Hybrid filtering in Semantic Query Processing . [Internet] [Thesis]. George Mason University; 2011. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/1920/6313.

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

Council of Science Editors:

Jeong H. Hybrid filtering in Semantic Query Processing . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6313

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


NSYSU

2. Wu, Chuan-Yi. LDA-based Group Recommendation on Documents.

Degree: Master, Information Management, 2013, NSYSU

 With the emergence of Internet, there is more and more information disseminating all over this channel. The abundant amount of information, however, causes difficulty for… (more)

Subjects/Keywords: collaborative filtering; group recommendation; content-based filtering; recommender systems; latent Dirichlet allocation; hidden topic analysis

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

APA (6th Edition):

Wu, C. (2013). LDA-based Group Recommendation on Documents. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Thesis, NSYSU. Accessed December 03, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

MLA Handbook (7th Edition):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Web. 03 Dec 2020.

Vancouver:

Wu C. LDA-based Group Recommendation on Documents. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Dec 03]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

Council of Science Editors:

Wu C. LDA-based Group Recommendation on Documents. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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


NSYSU

3. Chen, Li-Zen. Personalized Document Recommendation by Latent Dirichlet Allocation.

Degree: Master, Information Management, 2012, NSYSU

 Accompanying with the rapid growth of Internet, people around the world can easily distribute, browse, and share as much information as possible through the Internet.… (more)

Subjects/Keywords: recommender systems; collaborative filtering; hidden topic analysis; latent Dirichlet allocation; content-based filtering

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

APA (6th Edition):

Chen, L. (2012). Personalized Document Recommendation by Latent Dirichlet Allocation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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):

Chen, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Thesis, NSYSU. Accessed December 03, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

MLA Handbook (7th Edition):

Chen, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Web. 03 Dec 2020.

Vancouver:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Dec 03]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

Council of Science Editors:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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


RMIT University

4. Badsha, S. Privacy preserving recommender systems.

Degree: 2018, RMIT University

 The recommender systems help users find suitable and interesting products and contents from the huge amount of information that are available in the internet. There… (more)

Subjects/Keywords: Fields of Research; Cryptography; Recommender systems; Collaborative filtering; Encryption; Content based filtering; Ratings; Users

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

APA (6th Edition):

Badsha, S. (2018). Privacy preserving recommender systems. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162593

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):

Badsha, S. “Privacy preserving recommender systems.” 2018. Thesis, RMIT University. Accessed December 03, 2020. http://researchbank.rmit.edu.au/view/rmit:162593.

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

MLA Handbook (7th Edition):

Badsha, S. “Privacy preserving recommender systems.” 2018. Web. 03 Dec 2020.

Vancouver:

Badsha S. Privacy preserving recommender systems. [Internet] [Thesis]. RMIT University; 2018. [cited 2020 Dec 03]. Available from: http://researchbank.rmit.edu.au/view/rmit:162593.

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

Council of Science Editors:

Badsha S. Privacy preserving recommender systems. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162593

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


AUT University

5. Bookwala, Avinash Turab. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .

Degree: 2010, AUT University

 In this thesis, we present an innovative and novel approach to personalise maps/geo-spatial services for mobile users. With the proposed map personalisation approach, only relevant… (more)

Subjects/Keywords: Mobile devices; Map personalisation; Association rule mining; Collaborative filtering; Content based filtering; User profiles

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

APA (6th Edition):

Bookwala, A. T. (2010). Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/920

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):

Bookwala, Avinash Turab. “Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .” 2010. Thesis, AUT University. Accessed December 03, 2020. http://hdl.handle.net/10292/920.

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

MLA Handbook (7th Edition):

Bookwala, Avinash Turab. “Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .” 2010. Web. 03 Dec 2020.

Vancouver:

Bookwala AT. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . [Internet] [Thesis]. AUT University; 2010. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/10292/920.

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

Council of Science Editors:

Bookwala AT. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . [Thesis]. AUT University; 2010. Available from: http://hdl.handle.net/10292/920

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


KTH

6. Lindström, David. Content based filtering for application software.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

In the study, two methods for recommending application software were implemented and evaluated based on their ability to recommend alternative applications with related functionality… (more)

Subjects/Keywords: Recommender system; content based filtering; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Lindström, D. (2018). Content based filtering for application software. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223655

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):

Lindström, David. “Content based filtering for application software.” 2018. Thesis, KTH. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223655.

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

MLA Handbook (7th Edition):

Lindström, David. “Content based filtering for application software.” 2018. Web. 03 Dec 2020.

Vancouver:

Lindström D. Content based filtering for application software. [Internet] [Thesis]. KTH; 2018. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223655.

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

Council of Science Editors:

Lindström D. Content based filtering for application software. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223655

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


Uppsala University

7. Backlund, Alexander. Switching hybrid recommender system to aid the knowledge seekers.

Degree: Information Technology, 2020, Uppsala University

  In our daily life, time is of the essence. People do not have time to browse through hundreds of thousands of digital items every… (more)

Subjects/Keywords: ML; Machine Learning; Recommender System; Information Filtering; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; KNN; MF; Matrix Factorization; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Backlund, A. (2020). Switching hybrid recommender system to aid the knowledge seekers. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414623

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):

Backlund, Alexander. “Switching hybrid recommender system to aid the knowledge seekers.” 2020. Thesis, Uppsala University. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414623.

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

MLA Handbook (7th Edition):

Backlund, Alexander. “Switching hybrid recommender system to aid the knowledge seekers.” 2020. Web. 03 Dec 2020.

Vancouver:

Backlund A. Switching hybrid recommender system to aid the knowledge seekers. [Internet] [Thesis]. Uppsala University; 2020. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414623.

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

Council of Science Editors:

Backlund A. Switching hybrid recommender system to aid the knowledge seekers. [Thesis]. Uppsala University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414623

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


NSYSU

8. Huang, Hsin-Chieh. A Content via Collaboration Approach to Text Filtering Recommender Systems.

Degree: Master, Information Management, 2006, NSYSU

 Ever since the rapid growth of the Internet, recommender systems have become essential in helping online users to search and retrieve relevant information they need.… (more)

Subjects/Keywords: recommender systems; collaborative filtering; content-based filtering; LSI

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

APA (6th Edition):

Huang, H. (2006). A Content via Collaboration Approach to Text Filtering Recommender Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801106-224333

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, Hsin-Chieh. “A Content via Collaboration Approach to Text Filtering Recommender Systems.” 2006. Thesis, NSYSU. Accessed December 03, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801106-224333.

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

MLA Handbook (7th Edition):

Huang, Hsin-Chieh. “A Content via Collaboration Approach to Text Filtering Recommender Systems.” 2006. Web. 03 Dec 2020.

Vancouver:

Huang H. A Content via Collaboration Approach to Text Filtering Recommender Systems. [Internet] [Thesis]. NSYSU; 2006. [cited 2020 Dec 03]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801106-224333.

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

Council of Science Editors:

Huang H. A Content via Collaboration Approach to Text Filtering Recommender Systems. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801106-224333

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


Western Kentucky University

9. Lokesh, Ashwini. A Comparative Study of Recommendation Systems.

Degree: MS, School of Engineering and Applied Sciences, 2019, Western Kentucky University

  Recommendation Systems or Recommender Systems have become widely popular due to surge of information at present time and consumer centric environment. Researchers have looked… (more)

Subjects/Keywords: Movie Recommendation System; Collaborative Filtering; Content Based Filtering; Hybrid Recommendation; finding the best kind of recommendation system; Computer Sciences; Engineering

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

APA (6th Edition):

Lokesh, A. (2019). A Comparative Study of Recommendation Systems. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/3166

Chicago Manual of Style (16th Edition):

Lokesh, Ashwini. “A Comparative Study of Recommendation Systems.” 2019. Masters Thesis, Western Kentucky University. Accessed December 03, 2020. https://digitalcommons.wku.edu/theses/3166.

MLA Handbook (7th Edition):

Lokesh, Ashwini. “A Comparative Study of Recommendation Systems.” 2019. Web. 03 Dec 2020.

Vancouver:

Lokesh A. A Comparative Study of Recommendation Systems. [Internet] [Masters thesis]. Western Kentucky University; 2019. [cited 2020 Dec 03]. Available from: https://digitalcommons.wku.edu/theses/3166.

Council of Science Editors:

Lokesh A. A Comparative Study of Recommendation Systems. [Masters Thesis]. Western Kentucky University; 2019. Available from: https://digitalcommons.wku.edu/theses/3166

10. Huang, Jia. Recommendation with contextual information.

Degree: 2014, Drexel University

Information retrieval (IR) systems have tremendously broaden users' access to information. However, users need to select their needs from trillions of information indexed daily. Due… (more)

Subjects/Keywords: Information studies; Information storage and retrieval systems; Content-based image retrieval; Recommender systems (Information filtering)

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

APA (6th Edition):

Huang, J. (2014). Recommendation with contextual information. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4546

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, Jia. “Recommendation with contextual information.” 2014. Thesis, Drexel University. Accessed December 03, 2020. http://hdl.handle.net/1860/4546.

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

MLA Handbook (7th Edition):

Huang, Jia. “Recommendation with contextual information.” 2014. Web. 03 Dec 2020.

Vancouver:

Huang J. Recommendation with contextual information. [Internet] [Thesis]. Drexel University; 2014. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/1860/4546.

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

Council of Science Editors:

Huang J. Recommendation with contextual information. [Thesis]. Drexel University; 2014. Available from: http://hdl.handle.net/1860/4546

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


Universidade do Minho

11. Telha, Luana Geórgia Lopes. Smart Targeting de conteúdos para fidelizações e ofertas .

Degree: 2014, Universidade do Minho

 Os utilizadores de serviços informáticos recebem diariamente uma quantidade significativa e crescente de conteúdos não solicitados e muitas vezes não desejados. Este SPAM acontece através… (more)

Subjects/Keywords: Sistemas de recomendação; Filtragem colaborativa; Filtragem baseada em conteúdos; Filtragem híbrida; Cupões de oferta; Fidelização; Recommender systems; Collaborative filtering; Content-based filtering; hybrid filtering; Cuppons; Loyalty

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

APA (6th Edition):

Telha, L. G. L. (2014). Smart Targeting de conteúdos para fidelizações e ofertas . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/33925

Chicago Manual of Style (16th Edition):

Telha, Luana Geórgia Lopes. “Smart Targeting de conteúdos para fidelizações e ofertas .” 2014. Masters Thesis, Universidade do Minho. Accessed December 03, 2020. http://hdl.handle.net/1822/33925.

MLA Handbook (7th Edition):

Telha, Luana Geórgia Lopes. “Smart Targeting de conteúdos para fidelizações e ofertas .” 2014. Web. 03 Dec 2020.

Vancouver:

Telha LGL. Smart Targeting de conteúdos para fidelizações e ofertas . [Internet] [Masters thesis]. Universidade do Minho; 2014. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/1822/33925.

Council of Science Editors:

Telha LGL. Smart Targeting de conteúdos para fidelizações e ofertas . [Masters Thesis]. Universidade do Minho; 2014. Available from: http://hdl.handle.net/1822/33925


Florida International University

12. Zeng, Kaiman. Next Generation of Product Search and Discovery.

Degree: PhD, Electrical Engineering, 2015, Florida International University

  Online shopping has become an important part of people’s daily life with the rapid development of e-commerce. In some domains such as books, electronics,… (more)

Subjects/Keywords: visual search; content based image retrieval; ranking; hypergraph learning; recommendation; collaborative filtering; clustering; Other Electrical and Computer Engineering; Signal Processing

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

APA (6th Edition):

Zeng, K. (2015). Next Generation of Product Search and Discovery. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207

Chicago Manual of Style (16th Edition):

Zeng, Kaiman. “Next Generation of Product Search and Discovery.” 2015. Doctoral Dissertation, Florida International University. Accessed December 03, 2020. https://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207.

MLA Handbook (7th Edition):

Zeng, Kaiman. “Next Generation of Product Search and Discovery.” 2015. Web. 03 Dec 2020.

Vancouver:

Zeng K. Next Generation of Product Search and Discovery. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2020 Dec 03]. Available from: https://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207.

Council of Science Editors:

Zeng K. Next Generation of Product Search and Discovery. [Doctoral Dissertation]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207


KTH

13. Fathollahzadeh, Pedram. Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Making personalized recommendations has become a central part in many platforms, and is continuing to grow with more access to massive amounts of data… (more)

Subjects/Keywords: collaborative filtering; content-based method; matrix factorization; recommender systems; hierarchical classification; food recipes; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Fathollahzadeh, P. (2018). Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224782

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):

Fathollahzadeh, Pedram. “Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes.” 2018. Thesis, KTH. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224782.

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

MLA Handbook (7th Edition):

Fathollahzadeh, Pedram. “Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes.” 2018. Web. 03 Dec 2020.

Vancouver:

Fathollahzadeh P. Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes. [Internet] [Thesis]. KTH; 2018. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224782.

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

Council of Science Editors:

Fathollahzadeh P. Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224782

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


Brno University of Technology

14. Koníček, Igor. Webová aplikace doporučovacího systému: Web Application of Recommender System.

Degree: 2020, Brno University of Technology

 This master's thesis describes creation of recommender system that is used in real server cbdb.cz. A~fully operational recommender system was developed using collaborative and content-based(more)

Subjects/Keywords: Doporučovací systémy; dolování z~dat; kolaborativní filtrování; filtrování založené na obsahu; doporučování knih; kosinová podobnost; Recommender systems; data mining; collaborative filtering; content-based filtering; books recommendation; cosine similarity

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

APA (6th Edition):

Koníček, I. (2020). Webová aplikace doporučovacího systému: Web Application of Recommender System. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189908

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):

Koníček, Igor. “Webová aplikace doporučovacího systému: Web Application of Recommender System.” 2020. Thesis, Brno University of Technology. Accessed December 03, 2020. http://hdl.handle.net/11012/189908.

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

MLA Handbook (7th Edition):

Koníček, Igor. “Webová aplikace doporučovacího systému: Web Application of Recommender System.” 2020. Web. 03 Dec 2020.

Vancouver:

Koníček I. Webová aplikace doporučovacího systému: Web Application of Recommender System. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/11012/189908.

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

Council of Science Editors:

Koníček I. Webová aplikace doporučovacího systému: Web Application of Recommender System. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189908

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


Brno University of Technology

15. Koníček, Igor. Webová aplikace doporučovacího systému: Web Application of Recommender System.

Degree: 2019, Brno University of Technology

 This master's thesis describes creation of recommender system that is used in real server cbdb.cz. A~fully operational recommender system was developed using collaborative and content-based(more)

Subjects/Keywords: Doporučovací systémy; dolování z~dat; kolaborativní filtrování; filtrování založené na obsahu;   doporučování knih; kosinová podobnost; Recommender systems; data mining; collaborative filtering; content-based filtering; books recommendation; cosine similarity

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

APA (6th Edition):

Koníček, I. (2019). Webová aplikace doporučovacího systému: Web Application of Recommender System. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52297

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):

Koníček, Igor. “Webová aplikace doporučovacího systému: Web Application of Recommender System.” 2019. Thesis, Brno University of Technology. Accessed December 03, 2020. http://hdl.handle.net/11012/52297.

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

MLA Handbook (7th Edition):

Koníček, Igor. “Webová aplikace doporučovacího systému: Web Application of Recommender System.” 2019. Web. 03 Dec 2020.

Vancouver:

Koníček I. Webová aplikace doporučovacího systému: Web Application of Recommender System. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/11012/52297.

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

Council of Science Editors:

Koníček I. Webová aplikace doporučovacího systému: Web Application of Recommender System. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52297

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


Brno University of Technology

16. Koníček, Igor. Webová aplikace doporučovacího systému: Web Application of Recommender System.

Degree: 2020, Brno University of Technology

 This master's thesis describes creation of recommender system that is used in real server cbdb.cz. A~fully operational recommender system was developed using collaborative and content-based(more)

Subjects/Keywords: Doporučovací systémy; dolování z~dat; kolaborativní filtrování; filtrování založené na obsahu; doporučování knih; kosinová podobnost; Recommender systems; data mining; collaborative filtering; content-based filtering; books recommendation; cosine similarity

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

APA (6th Edition):

Koníček, I. (2020). Webová aplikace doporučovacího systému: Web Application of Recommender System. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188815

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):

Koníček, Igor. “Webová aplikace doporučovacího systému: Web Application of Recommender System.” 2020. Thesis, Brno University of Technology. Accessed December 03, 2020. http://hdl.handle.net/11012/188815.

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

MLA Handbook (7th Edition):

Koníček, Igor. “Webová aplikace doporučovacího systému: Web Application of Recommender System.” 2020. Web. 03 Dec 2020.

Vancouver:

Koníček I. Webová aplikace doporučovacího systému: Web Application of Recommender System. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/11012/188815.

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

Council of Science Editors:

Koníček I. Webová aplikace doporučovacího systému: Web Application of Recommender System. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188815

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


Kansas State University

17. Karanam, Manikanta Babu. Tackling the problems of diversity in recommender systems.

Degree: MS, Department of Computing and Information Sciences, 2010, Kansas State University

 A recommender system is a computational mechanism for information filtering, where users provide recommendations (in the form of ratings or selecting items) as inputs, which… (more)

Subjects/Keywords: Recommender Systems; Diversity; Collaborative Filtering; Content Based Filtering; Hybrid Systems; Computer Science (0984)

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

APA (6th Edition):

Karanam, M. B. (2010). Tackling the problems of diversity in recommender systems. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/6981

Chicago Manual of Style (16th Edition):

Karanam, Manikanta Babu. “Tackling the problems of diversity in recommender systems.” 2010. Masters Thesis, Kansas State University. Accessed December 03, 2020. http://hdl.handle.net/2097/6981.

MLA Handbook (7th Edition):

Karanam, Manikanta Babu. “Tackling the problems of diversity in recommender systems.” 2010. Web. 03 Dec 2020.

Vancouver:

Karanam MB. Tackling the problems of diversity in recommender systems. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2097/6981.

Council of Science Editors:

Karanam MB. Tackling the problems of diversity in recommender systems. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/6981


Université de Grenoble

18. Meyer, Frank. Systèmes de recommandation dans des contextes industriels : Recommender systems in industrial contexts.

Degree: Docteur es, Informatique, 2012, Université de Grenoble

Cette thèse traite des systèmes de recommandation automatiques. Les moteurs de recommandation automatique sont des systèmes qui permettent, par des techniques de data mining, de… (more)

Subjects/Keywords: Filtrage collaboratif; Filtrage par le contenu; Système de recommandation; Contexte industriel; Evaluation des systèmes de recommandation; Hybridation switch-based; Collaborative Filtering; Content based filtering; Système de recommandation; Industrial context; Evaluation of recommender systems; Switch-based hybrid systems

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

APA (6th Edition):

Meyer, F. (2012). Systèmes de recommandation dans des contextes industriels : Recommender systems in industrial contexts. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2012GRENM004

Chicago Manual of Style (16th Edition):

Meyer, Frank. “Systèmes de recommandation dans des contextes industriels : Recommender systems in industrial contexts.” 2012. Doctoral Dissertation, Université de Grenoble. Accessed December 03, 2020. http://www.theses.fr/2012GRENM004.

MLA Handbook (7th Edition):

Meyer, Frank. “Systèmes de recommandation dans des contextes industriels : Recommender systems in industrial contexts.” 2012. Web. 03 Dec 2020.

Vancouver:

Meyer F. Systèmes de recommandation dans des contextes industriels : Recommender systems in industrial contexts. [Internet] [Doctoral dissertation]. Université de Grenoble; 2012. [cited 2020 Dec 03]. Available from: http://www.theses.fr/2012GRENM004.

Council of Science Editors:

Meyer F. Systèmes de recommandation dans des contextes industriels : Recommender systems in industrial contexts. [Doctoral Dissertation]. Université de Grenoble; 2012. Available from: http://www.theses.fr/2012GRENM004


Uppsala University

19. Nyberg, Selma. Video Recommendation Based on Object Detection.

Degree: Division of Systems and Control, 2018, Uppsala University

  In this thesis, various machine learning domains have been combined in order to build a video recommender system that is based on object detection. The work… (more)

Subjects/Keywords: Spotify; Machine Learning; Artificial Intelligence; Recommender Systems; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; Deep Learning; Image Recognition; Object Detection; Natural Language Processing; Paragraph Vectors; Doc2Vec; TensorFlow; Classification; K-Nearest Neighbors; Cross-Validation; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Nyberg, S. (2018). Video Recommendation Based on Object Detection. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351122

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):

Nyberg, Selma. “Video Recommendation Based on Object Detection.” 2018. Thesis, Uppsala University. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351122.

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

MLA Handbook (7th Edition):

Nyberg, Selma. “Video Recommendation Based on Object Detection.” 2018. Web. 03 Dec 2020.

Vancouver:

Nyberg S. Video Recommendation Based on Object Detection. [Internet] [Thesis]. Uppsala University; 2018. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351122.

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

Council of Science Editors:

Nyberg S. Video Recommendation Based on Object Detection. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351122

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

20. Andersson, Morgan. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

The amount of video content online will nearly triple in quantity by 2021 compared to 2016. The implementation of sophisticated filters is of paramount… (more)

Subjects/Keywords: Information Filtering; Recommender Systems; News Videos; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; Computer Sciences; Datavetenskap (datalogi)

…will be touched upon in this thesis [3]. 2.2 Content-based filtering Content-based… …articles or metadata from the video in a meaningful way. The content-based filtering can use… …CHAPTER 2. BACKGROUND 7 Figure 2.2: Illustration of how the content-based filtering works… …2.3. Which in essence is the nature of content-based filtering. A common similarity… …2.2.2 Pros and cons The content-based filtering technique is especially good for recommending… 

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

APA (6th Edition):

Andersson, M. (2018). Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137

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):

Andersson, Morgan. “Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data.” 2018. Thesis, KTH. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137.

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

MLA Handbook (7th Edition):

Andersson, Morgan. “Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data.” 2018. Web. 03 Dec 2020.

Vancouver:

Andersson M. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data. [Internet] [Thesis]. KTH; 2018. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137.

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

Council of Science Editors:

Andersson M. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137

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


Brno University of Technology

21. Dubeň, Matej. Agregace a doporučování událostí a míst z Facebooku: Events and Places Agregation and Suggestions from Facebook.

Degree: 2019, Brno University of Technology

 The aim of this bachelor thesis is to explain the design and implementation of an Android application "Let's Go Out", which can recommend Facebook events… (more)

Subjects/Keywords: Kolaborativní filtrování; Obsahové doporučení; Agregace událostí; Agregace míst; Android; Kosinová míra podobnosti; TF-IDF; Collaborative filtering; Content-based recommendation; Events aggregation; Places aggregation; Android; Cosine similarity Measure; TF-IDF

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

APA (6th Edition):

Dubeň, M. (2019). Agregace a doporučování událostí a míst z Facebooku: Events and Places Agregation and Suggestions from Facebook. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/64141

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):

Dubeň, Matej. “Agregace a doporučování událostí a míst z Facebooku: Events and Places Agregation and Suggestions from Facebook.” 2019. Thesis, Brno University of Technology. Accessed December 03, 2020. http://hdl.handle.net/11012/64141.

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

MLA Handbook (7th Edition):

Dubeň, Matej. “Agregace a doporučování událostí a míst z Facebooku: Events and Places Agregation and Suggestions from Facebook.” 2019. Web. 03 Dec 2020.

Vancouver:

Dubeň M. Agregace a doporučování událostí a míst z Facebooku: Events and Places Agregation and Suggestions from Facebook. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/11012/64141.

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

Council of Science Editors:

Dubeň M. Agregace a doporučování událostí a míst z Facebooku: Events and Places Agregation and Suggestions from Facebook. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/64141

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

22. Marginean, Sonia-Roxana. VoyageWithUs : a recommender platform that enhances group travel planning.

Degree: MSin Engineering, Electrical and Computer engineering, 2016, University of Texas – Austin

 Group travel planning poses unique challenges such as choosing hotels, restaurants and venues while catering to everyone’s wants and needs, or sharing trip itineraries and… (more)

Subjects/Keywords: Recommender architectures; Context-based filtering; Collaborative filtering; Content-based filtering; Collaborative travel planning; Mobile travel planning; Hybrid recommenders

…to make recommendations: 1. Content-based recommenders use the user’s past experiences in… …their future preferences. The downside is that content-based recommenders are subject to the… …builds personalized travel packages, similar to VISIT. It uses collaborative-based filtering to… …three main recommender categories: content, collaborative, and knowledge based, in order to… …account for cold start and other challenges. ● Both collaborative and content based location… 

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

APA (6th Edition):

Marginean, S. (2016). VoyageWithUs : a recommender platform that enhances group travel planning. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45698

Chicago Manual of Style (16th Edition):

Marginean, Sonia-Roxana. “VoyageWithUs : a recommender platform that enhances group travel planning.” 2016. Masters Thesis, University of Texas – Austin. Accessed December 03, 2020. http://hdl.handle.net/2152/45698.

MLA Handbook (7th Edition):

Marginean, Sonia-Roxana. “VoyageWithUs : a recommender platform that enhances group travel planning.” 2016. Web. 03 Dec 2020.

Vancouver:

Marginean S. VoyageWithUs : a recommender platform that enhances group travel planning. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2152/45698.

Council of Science Editors:

Marginean S. VoyageWithUs : a recommender platform that enhances group travel planning. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45698

23. Rudakova, Olga. User- and system initiated approaches to content discovery.

Degree: Computer Science, 2015, Linnaeus University

  Social networking has encouraged users to find new ways to create, post, search, collaborate and share information of various forms. Unfortunately there is a… (more)

Subjects/Keywords: user-initiated content discovery; system-initiated content discovery; content-based filtering; collaborative filtering; recommender systems; Computer Sciences; Datavetenskap (datalogi)

…recommend the item to the user:  collaborative filtering;  content-based filtering… …who bought books A and B also bought book C." Content-based filtering is another… …Content-based filtering methods are based on a description of the item and a profile of the… …filtering. Content-based filtering methods are based on an item profile (i.e. a set of… …hierarchy is shown on the figure 3.3. 3.5 Recommendation based on content-based filtering approach… 

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

APA (6th Edition):

Rudakova, O. (2015). User- and system initiated approaches to content discovery. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-40674

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):

Rudakova, Olga. “User- and system initiated approaches to content discovery.” 2015. Thesis, Linnaeus University. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-40674.

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

MLA Handbook (7th Edition):

Rudakova, Olga. “User- and system initiated approaches to content discovery.” 2015. Web. 03 Dec 2020.

Vancouver:

Rudakova O. User- and system initiated approaches to content discovery. [Internet] [Thesis]. Linnaeus University; 2015. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-40674.

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

Council of Science Editors:

Rudakova O. User- and system initiated approaches to content discovery. [Thesis]. Linnaeus University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-40674

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


Brno University of Technology

24. Kočí, Jan. Doporučovací systém pro webové články: Recommender System for Web Articles.

Degree: 2019, Brno University of Technology

 Recommender systems for web articles are the main interest of this thesis. It explains the most popular approaches used to build these systems, proposes a… (more)

Subjects/Keywords: Doporučovací systémy; Strojové učení; Hluboké učení; Zpracování textu; Kolaborativní filtrování; Faktorizace matic; Filtrování založené na obsahu.; Recommender Systems; Machine Learning; Deep Learning; Document Embedding; Collaborative Filtering; Matrix Factorization; Content-based filtering.

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

APA (6th Edition):

Kočí, J. (2019). Doporučovací systém pro webové články: Recommender System for Web Articles. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180265

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):

Kočí, Jan. “Doporučovací systém pro webové články: Recommender System for Web Articles.” 2019. Thesis, Brno University of Technology. Accessed December 03, 2020. http://hdl.handle.net/11012/180265.

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

MLA Handbook (7th Edition):

Kočí, Jan. “Doporučovací systém pro webové články: Recommender System for Web Articles.” 2019. Web. 03 Dec 2020.

Vancouver:

Kočí J. Doporučovací systém pro webové články: Recommender System for Web Articles. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/11012/180265.

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

Council of Science Editors:

Kočí J. Doporučovací systém pro webové články: Recommender System for Web Articles. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180265

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


University of Guelph

25. Gagné, Dominic. A Framework to Assist in the Selection of Appropriate Techniques for the Personalization of Software Systems Based on Characteristics of Available Data.

Degree: MS, School of Computer Science, 2018, University of Guelph

 The complexity of modern software systems has had the unintended consequence of overwhelming users with large amounts of information, reducing their ability to effectively use… (more)

Subjects/Keywords: framework; personalization; recommender; recommender system; collaborative; collaborative filtering; content-based filtering; information overload; software; software systems; Research Subject Categories::TECHNOLOGY; Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Software engineering; Research Subject Categories::TECHNOLOGY::Information technology::Computer science; user model; user models; user modelling; customization

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APA (6th Edition):

Gagné, D. (2018). A Framework to Assist in the Selection of Appropriate Techniques for the Personalization of Software Systems Based on Characteristics of Available Data. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14202

Chicago Manual of Style (16th Edition):

Gagné, Dominic. “A Framework to Assist in the Selection of Appropriate Techniques for the Personalization of Software Systems Based on Characteristics of Available Data.” 2018. Masters Thesis, University of Guelph. Accessed December 03, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14202.

MLA Handbook (7th Edition):

Gagné, Dominic. “A Framework to Assist in the Selection of Appropriate Techniques for the Personalization of Software Systems Based on Characteristics of Available Data.” 2018. Web. 03 Dec 2020.

Vancouver:

Gagné D. A Framework to Assist in the Selection of Appropriate Techniques for the Personalization of Software Systems Based on Characteristics of Available Data. [Internet] [Masters thesis]. University of Guelph; 2018. [cited 2020 Dec 03]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14202.

Council of Science Editors:

Gagné D. A Framework to Assist in the Selection of Appropriate Techniques for the Personalization of Software Systems Based on Characteristics of Available Data. [Masters Thesis]. University of Guelph; 2018. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14202

26. Bergqvist, Martin. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie.

Degree: Education and IT, 2018, University of Borås

Rekommendationssystem används överallt. På populära plattformar såsom Netflix och Amazon får du alltid rekommendationer på vad som är nästa lämpliga film eller inköp, baserat… (more)

Subjects/Keywords: Collaborative filtering; Content-based filtering; Recommender systems; Steam; Computer Science; Machine learning; Information retrieval; Collaborative filtering; Content-based filtering; Rekommendationssystem; Steam; Datorvetenskap; Maskininlärning; Informationssökning; Information Systems; Systemvetenskap, informationssystem och informatik

…utforskar är således: ”Hur presterar Collaborative Filtering i jämförelse med Content-based… …finns det olika metoder för systemet att implementera: Collaborative Filtering, Content-based… …x28;Hu et al. 2008). Content-based Filtering – metod översikt CBF skapar… …konstruktion Content-based Filtering jämfört med Collaborative Filtering Content-based Filtering… …Content-Based Filtering: Enkel implementation (Vector space model) som utifrån… 

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

APA (6th Edition):

Bergqvist, M. (2018). Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129

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):

Bergqvist, Martin. “Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie.” 2018. Thesis, University of Borås. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129.

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

MLA Handbook (7th Edition):

Bergqvist, Martin. “Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie.” 2018. Web. 03 Dec 2020.

Vancouver:

Bergqvist M. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie. [Internet] [Thesis]. University of Borås; 2018. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129.

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

Council of Science Editors:

Bergqvist M. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie. [Thesis]. University of Borås; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129

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


University of North Florida

27. Kaufman, Jaime C. A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features.

Degree: 2014, University of North Florida

 Recommendation systems make it easier for an individual to navigate through large datasets by recommending information relevant to the user. Companies such as Facebook, LinkedIn,… (more)

Subjects/Keywords: Thesis; University of North Florida; UNF; Dissertations, Academic  – UNF  – Master of Science in Computer and Information Sciences; Dissertations, Academic  – UNF  – Computing; music; collaborative filtering; collective intelligence; content-based filtering; MFCC; recommend; information retrieval; database; Pandora; Last.fm; music recommendation system; UNF; Databases and Information Systems; Software Engineering; Theory and Algorithms

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

APA (6th Edition):

Kaufman, J. C. (2014). A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features. (Thesis). University of North Florida. Retrieved from https://digitalcommons.unf.edu/etd/540

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):

Kaufman, Jaime C. “A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features.” 2014. Thesis, University of North Florida. Accessed December 03, 2020. https://digitalcommons.unf.edu/etd/540.

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

MLA Handbook (7th Edition):

Kaufman, Jaime C. “A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features.” 2014. Web. 03 Dec 2020.

Vancouver:

Kaufman JC. A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features. [Internet] [Thesis]. University of North Florida; 2014. [cited 2020 Dec 03]. Available from: https://digitalcommons.unf.edu/etd/540.

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

Council of Science Editors:

Kaufman JC. A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features. [Thesis]. University of North Florida; 2014. Available from: https://digitalcommons.unf.edu/etd/540

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


University of Alberta

28. Stepan, Torin KS. Incorporating Content and Context in Recommender Systems.

Degree: MS, Department of Electrical and Computer Engineering, 2015, University of Alberta

 Recommender systems are a growing area of research that find practical applications in a variety of domains. Integrated library systems and location-based social networks can… (more)

Subjects/Keywords: cold-start; hybrid; k-nearest neighbors; spatial; location based social networks; books; collaborative filtering; temporal; fuzzy; context; fuzzy taste vector; similarity; content; social; rural libraries; movies; recommendation; recommender; university digital libraries; classifier; locations

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

APA (6th Edition):

Stepan, T. K. (2015). Incorporating Content and Context in Recommender Systems. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/qr46r3589

Chicago Manual of Style (16th Edition):

Stepan, Torin KS. “Incorporating Content and Context in Recommender Systems.” 2015. Masters Thesis, University of Alberta. Accessed December 03, 2020. https://era.library.ualberta.ca/files/qr46r3589.

MLA Handbook (7th Edition):

Stepan, Torin KS. “Incorporating Content and Context in Recommender Systems.” 2015. Web. 03 Dec 2020.

Vancouver:

Stepan TK. Incorporating Content and Context in Recommender Systems. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2020 Dec 03]. Available from: https://era.library.ualberta.ca/files/qr46r3589.

Council of Science Editors:

Stepan TK. Incorporating Content and Context in Recommender Systems. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/qr46r3589

29. Lundström, Fredrik. Effektiviteten av rekommendationssystems olika filtreringstekniker: En strukturerad litteraturstudie.

Degree: Information Systems, 2018, Uppsala University

  Mängden data som transporteras över Internet idag är stor. Vilket innebär att det finns ett överflöd av information och ett behov för att urskilja… (more)

Subjects/Keywords: Recommender systems; Recommendation systems; Electronic Commerce; E-Commerce; Literature review; Content based filtering; Collaborative filtering; Hybrid filtering; Rekommendationssystem; E-Handel; Rekommendations System; Litteraturstudie; Innehållsbaserad Filtreringsteknik; Kollaborativ Filtreringsteknik; Hybrid filtreringsteknik; Information Systems, Social aspects; Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

…Commerce E-Commerce, E-handel, Näthandel, Webbhandel Content-Based Innehållsbaserad… …Recommender Systems 1 Electronic Commerce Recommender Systems Content-Based 2 Electronic… …tidskriftsartiklar innefattar “Content Based Recommendation” i sin titel sedan 2015, jämfört med 40… …Collaborative Filtering Kollaborativ filtrering Hybrid Hybrid Latent Factor Latent Faktor… …Commerce Recommender Systems Collaborative Filtering 3 Electronic Commerce Recommender Systems… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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

APA (6th Edition):

Lundström, F. (2018). Effektiviteten av rekommendationssystems olika filtreringstekniker: En strukturerad litteraturstudie. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354068

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):

Lundström, Fredrik. “Effektiviteten av rekommendationssystems olika filtreringstekniker: En strukturerad litteraturstudie.” 2018. Thesis, Uppsala University. Accessed December 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354068.

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

MLA Handbook (7th Edition):

Lundström, Fredrik. “Effektiviteten av rekommendationssystems olika filtreringstekniker: En strukturerad litteraturstudie.” 2018. Web. 03 Dec 2020.

Vancouver:

Lundström F. Effektiviteten av rekommendationssystems olika filtreringstekniker: En strukturerad litteraturstudie. [Internet] [Thesis]. Uppsala University; 2018. [cited 2020 Dec 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354068.

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

Council of Science Editors:

Lundström F. Effektiviteten av rekommendationssystems olika filtreringstekniker: En strukturerad litteraturstudie. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354068

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

30. Celma Herrada, Òscar. Music recommendation and discovery in the long tail.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2009, Universitat Pompeu Fabra

 Music consumption is biased towards a few popular artists. For instance, in 2007 only 1% of all digital tracks accounted for 80% of all sales.… (more)

Subjects/Keywords: last.fm; user based evaluation; collaborative filtering; complex network analysis; popularity; long tail; novelty; music3.0; music information retrieval; recommendation; recommender systems; content based analysis; 621.3; 78

…30 2.5.3 Contentbased filtering . . . . . . . . . . . . . . . . . . . . . . . . . 35… …3.4.2 Contentbased filtering . . . . . . . . . . . . . . . . . . . . . . . . . 81 3.4.3… …2.5.4 Context–based filtering . . . . . . . . . . . . . . . . . . . . . . . . . 38 2.5.5… …Context–based filtering . . . . . . . . . . . . . . . . . . . . . . . . . 85 3.4.4 3.5 52… …2.5 Distance among items using contentbased similarity. . . . . . . . . . . . . 35 2.6… 

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

APA (6th Edition):

Celma Herrada, . (2009). Music recommendation and discovery in the long tail. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/7557

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):

Celma Herrada, Òscar. “Music recommendation and discovery in the long tail.” 2009. Thesis, Universitat Pompeu Fabra. Accessed December 03, 2020. http://hdl.handle.net/10803/7557.

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

MLA Handbook (7th Edition):

Celma Herrada, Òscar. “Music recommendation and discovery in the long tail.” 2009. Web. 03 Dec 2020.

Vancouver:

Celma Herrada . Music recommendation and discovery in the long tail. [Internet] [Thesis]. Universitat Pompeu Fabra; 2009. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/10803/7557.

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

Council of Science Editors:

Celma Herrada . Music recommendation and discovery in the long tail. [Thesis]. Universitat Pompeu Fabra; 2009. Available from: http://hdl.handle.net/10803/7557

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

[1] [2]

.