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You searched for subject:(recommender systems). Showing records 1 – 30 of 451 total matches.

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Texas State University – San Marcos

1. Channamsetty, Sushma. Recommender Response to User Profile Diversity and Popularity Bias.

Degree: MS, Computer Science, 2016, Texas State University – San Marcos

Recommender systems are commonly evaluated to understand the effectiveness of their algorithms. Diversity and novelty of the recommender systems have been in consideration while evaluating… (more)

Subjects/Keywords: Recommender systems; Recommender; Recommender systems (Information filtering); Expert systems (Computer science)

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

APA (6th Edition):

Channamsetty, S. (2016). Recommender Response to User Profile Diversity and Popularity Bias. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6313

Chicago Manual of Style (16th Edition):

Channamsetty, Sushma. “Recommender Response to User Profile Diversity and Popularity Bias.” 2016. Masters Thesis, Texas State University – San Marcos. Accessed March 09, 2021. https://digital.library.txstate.edu/handle/10877/6313.

MLA Handbook (7th Edition):

Channamsetty, Sushma. “Recommender Response to User Profile Diversity and Popularity Bias.” 2016. Web. 09 Mar 2021.

Vancouver:

Channamsetty S. Recommender Response to User Profile Diversity and Popularity Bias. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2021 Mar 09]. Available from: https://digital.library.txstate.edu/handle/10877/6313.

Council of Science Editors:

Channamsetty S. Recommender Response to User Profile Diversity and Popularity Bias. [Masters Thesis]. Texas State University – San Marcos; 2016. Available from: https://digital.library.txstate.edu/handle/10877/6313

2. Kosaraju, Sai Sri. StreamER: Evaluation Framework For Streaming Recommender Systems.

Degree: Faculty of Technology and Society (TS), 2018, Malmö University

Recommender systems have gained a lot of popularity in recent times due to their application in the wide range of fields. Recommender systems are… (more)

Subjects/Keywords: Recommender Systems; Recommender Systems Evaluation; Streaming Recommender Systems; Recommender system metrics; Recommender systems evaluation tools; Engineering and Technology; Teknik och teknologier

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

APA (6th Edition):

Kosaraju, S. S. (2018). StreamER: Evaluation Framework For Streaming Recommender Systems. (Thesis). Malmö University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20279

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):

Kosaraju, Sai Sri. “StreamER: Evaluation Framework For Streaming Recommender Systems.” 2018. Thesis, Malmö University. Accessed March 09, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20279.

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

MLA Handbook (7th Edition):

Kosaraju, Sai Sri. “StreamER: Evaluation Framework For Streaming Recommender Systems.” 2018. Web. 09 Mar 2021.

Vancouver:

Kosaraju SS. StreamER: Evaluation Framework For Streaming Recommender Systems. [Internet] [Thesis]. Malmö University; 2018. [cited 2021 Mar 09]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20279.

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

Council of Science Editors:

Kosaraju SS. StreamER: Evaluation Framework For Streaming Recommender Systems. [Thesis]. Malmö University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20279

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


University of Technology, Sydney

3. Hao, Peng. Cross-domain recommender system through tag-based models.

Degree: 2018, University of Technology, Sydney

 Nowadays, data pertaining to clients are generated at such a rapid rate it is completely beyond the processing ability of a human, which leads to… (more)

Subjects/Keywords: Collaborative filtering-based model recommender systems.; Cross-domain recommender systems.; Recommender systems.

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

APA (6th Edition):

Hao, P. (2018). Cross-domain recommender system through tag-based models. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/125626

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):

Hao, Peng. “Cross-domain recommender system through tag-based models.” 2018. Thesis, University of Technology, Sydney. Accessed March 09, 2021. http://hdl.handle.net/10453/125626.

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

MLA Handbook (7th Edition):

Hao, Peng. “Cross-domain recommender system through tag-based models.” 2018. Web. 09 Mar 2021.

Vancouver:

Hao P. Cross-domain recommender system through tag-based models. [Internet] [Thesis]. University of Technology, Sydney; 2018. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10453/125626.

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

Council of Science Editors:

Hao P. Cross-domain recommender system through tag-based models. [Thesis]. University of Technology, Sydney; 2018. Available from: http://hdl.handle.net/10453/125626

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


University of Alberta

4. Bakhshinategh, Behdad. Design of a Course Recommender System as an Application of Collecting Graduating Attributes.

Degree: MS, Department of Computing Science, 2016, University of Alberta

 In educational research, the term of Graduating Attributes has been used for the qualities, skills and understandings a university community agrees its students would develop.… (more)

Subjects/Keywords: Graduating Attributes; Recommender Systems

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

APA (6th Edition):

Bakhshinategh, B. (2016). Design of a Course Recommender System as an Application of Collecting Graduating Attributes. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cnz805z87v

Chicago Manual of Style (16th Edition):

Bakhshinategh, Behdad. “Design of a Course Recommender System as an Application of Collecting Graduating Attributes.” 2016. Masters Thesis, University of Alberta. Accessed March 09, 2021. https://era.library.ualberta.ca/files/cnz805z87v.

MLA Handbook (7th Edition):

Bakhshinategh, Behdad. “Design of a Course Recommender System as an Application of Collecting Graduating Attributes.” 2016. Web. 09 Mar 2021.

Vancouver:

Bakhshinategh B. Design of a Course Recommender System as an Application of Collecting Graduating Attributes. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2021 Mar 09]. Available from: https://era.library.ualberta.ca/files/cnz805z87v.

Council of Science Editors:

Bakhshinategh B. Design of a Course Recommender System as an Application of Collecting Graduating Attributes. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cnz805z87v


Texas A&M University

5. Guo, Shiqiang. ResuMatcher: A Personalized Resume-Job Matching System.

Degree: MS, Computer Science, 2015, Texas A&M University

 Today, online recruiting web sites such as Monster and Indeed.com have become one of the main channels for people to find jobs. These web platforms… (more)

Subjects/Keywords: Job Search; Recommender Systems; NLP

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

APA (6th Edition):

Guo, S. (2015). ResuMatcher: A Personalized Resume-Job Matching System. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154963

Chicago Manual of Style (16th Edition):

Guo, Shiqiang. “ResuMatcher: A Personalized Resume-Job Matching System.” 2015. Masters Thesis, Texas A&M University. Accessed March 09, 2021. http://hdl.handle.net/1969.1/154963.

MLA Handbook (7th Edition):

Guo, Shiqiang. “ResuMatcher: A Personalized Resume-Job Matching System.” 2015. Web. 09 Mar 2021.

Vancouver:

Guo S. ResuMatcher: A Personalized Resume-Job Matching System. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1969.1/154963.

Council of Science Editors:

Guo S. ResuMatcher: A Personalized Resume-Job Matching System. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/154963


Brigham Young University

6. Brinton, Derrick James. Recommender Systems for Family History Source Discovery.

Degree: MS, 2017, Brigham Young University

 As interest in family history research increases, greater numbers of amateurs are participating in genealogy. However, finding sources that provide useful information on individuals in… (more)

Subjects/Keywords: Recommender Systems; Genealogy; Computer Sciences

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

APA (6th Edition):

Brinton, D. J. (2017). Recommender Systems for Family History Source Discovery. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7606&context=etd

Chicago Manual of Style (16th Edition):

Brinton, Derrick James. “Recommender Systems for Family History Source Discovery.” 2017. Masters Thesis, Brigham Young University. Accessed March 09, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7606&context=etd.

MLA Handbook (7th Edition):

Brinton, Derrick James. “Recommender Systems for Family History Source Discovery.” 2017. Web. 09 Mar 2021.

Vancouver:

Brinton DJ. Recommender Systems for Family History Source Discovery. [Internet] [Masters thesis]. Brigham Young University; 2017. [cited 2021 Mar 09]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7606&context=etd.

Council of Science Editors:

Brinton DJ. Recommender Systems for Family History Source Discovery. [Masters Thesis]. Brigham Young University; 2017. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7606&context=etd


Hong Kong University of Science and Technology

7. Zhao, Pengfei CSE. Novelty and diversity based recommendation systems.

Degree: 2016, Hong Kong University of Science and Technology

 Traditional recommendation systems aim at generating recommendations that are relevant to the user’s interest. Thus, they are called relevance-based recommendation systems (RBRSs). The major drawback… (more)

Subjects/Keywords: Recommender systems (Information filtering)

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

APA (6th Edition):

Zhao, P. C. (2016). Novelty and diversity based recommendation systems. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html

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):

Zhao, Pengfei CSE. “Novelty and diversity based recommendation systems.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed March 09, 2021. http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhao, Pengfei CSE. “Novelty and diversity based recommendation systems.” 2016. Web. 09 Mar 2021.

Vancouver:

Zhao PC. Novelty and diversity based recommendation systems. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2021 Mar 09]. Available from: http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html.

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

Council of Science Editors:

Zhao PC. Novelty and diversity based recommendation systems. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html

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


ITESO – Universidad Jesuita de Guadalajara

8. Hernández-Ortiz, Miguel A. Webpage recommender system .

Degree: 2016, ITESO – Universidad Jesuita de Guadalajara

 En este trabajo se hace una introducción al campo de estudio de los sistemas de recomendación. Se pretende aplicarlo para desarrollar un sistema recomendador para… (more)

Subjects/Keywords: Sistemas de Recomendación; Recommender Systems

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

APA (6th Edition):

Hernández-Ortiz, M. A. (2016). Webpage recommender system . (Thesis). ITESO – Universidad Jesuita de Guadalajara. Retrieved from http://hdl.handle.net/11117/4161

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):

Hernández-Ortiz, Miguel A. “Webpage recommender system .” 2016. Thesis, ITESO – Universidad Jesuita de Guadalajara. Accessed March 09, 2021. http://hdl.handle.net/11117/4161.

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

MLA Handbook (7th Edition):

Hernández-Ortiz, Miguel A. “Webpage recommender system .” 2016. Web. 09 Mar 2021.

Vancouver:

Hernández-Ortiz MA. Webpage recommender system . [Internet] [Thesis]. ITESO – Universidad Jesuita de Guadalajara; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11117/4161.

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

Council of Science Editors:

Hernández-Ortiz MA. Webpage recommender system . [Thesis]. ITESO – Universidad Jesuita de Guadalajara; 2016. Available from: http://hdl.handle.net/11117/4161

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


Delft University of Technology

9. Wafula, J.B. (author). Evaluation of Machine Learning Algorithms for Outlier Detection in Clustered Code Fragments.

Degree: 2015, Delft University of Technology

Many software systems are designed to be long-lived due to the costs involved in developing new systems. Changes in these systems are inevitable due to… (more)

Subjects/Keywords: Machine Learning; Recommender Systems

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

APA (6th Edition):

Wafula, J. B. (. (2015). Evaluation of Machine Learning Algorithms for Outlier Detection in Clustered Code Fragments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2cc644d3-c95c-4331-8b07-445d491f697f

Chicago Manual of Style (16th Edition):

Wafula, J B (author). “Evaluation of Machine Learning Algorithms for Outlier Detection in Clustered Code Fragments.” 2015. Masters Thesis, Delft University of Technology. Accessed March 09, 2021. http://resolver.tudelft.nl/uuid:2cc644d3-c95c-4331-8b07-445d491f697f.

MLA Handbook (7th Edition):

Wafula, J B (author). “Evaluation of Machine Learning Algorithms for Outlier Detection in Clustered Code Fragments.” 2015. Web. 09 Mar 2021.

Vancouver:

Wafula JB(. Evaluation of Machine Learning Algorithms for Outlier Detection in Clustered Code Fragments. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Mar 09]. Available from: http://resolver.tudelft.nl/uuid:2cc644d3-c95c-4331-8b07-445d491f697f.

Council of Science Editors:

Wafula JB(. Evaluation of Machine Learning Algorithms for Outlier Detection in Clustered Code Fragments. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:2cc644d3-c95c-4331-8b07-445d491f697f


Delft University of Technology

10. Dritsas, Athanasios (author). Deep visual genre-aware descriptors for movie recommendation.

Degree: 2019, Delft University of Technology

In the last years, the popularity of video-on-demand services has been constantly increasing, especially for the young audiences who are more adept at using new… (more)

Subjects/Keywords: recommender systems; multimedia; deep learning

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

APA (6th Edition):

Dritsas, A. (. (2019). Deep visual genre-aware descriptors for movie recommendation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4c264cda-3aee-46ca-9f20-1586d177b49c

Chicago Manual of Style (16th Edition):

Dritsas, Athanasios (author). “Deep visual genre-aware descriptors for movie recommendation.” 2019. Masters Thesis, Delft University of Technology. Accessed March 09, 2021. http://resolver.tudelft.nl/uuid:4c264cda-3aee-46ca-9f20-1586d177b49c.

MLA Handbook (7th Edition):

Dritsas, Athanasios (author). “Deep visual genre-aware descriptors for movie recommendation.” 2019. Web. 09 Mar 2021.

Vancouver:

Dritsas A(. Deep visual genre-aware descriptors for movie recommendation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 09]. Available from: http://resolver.tudelft.nl/uuid:4c264cda-3aee-46ca-9f20-1586d177b49c.

Council of Science Editors:

Dritsas A(. Deep visual genre-aware descriptors for movie recommendation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:4c264cda-3aee-46ca-9f20-1586d177b49c


University of Minnesota

11. Ekstrand, Michael. Towards Recommender Engineering: tools and experiments for identifying recommender differences.

Degree: PhD, 2014, University of Minnesota

 Since the introduction of their modern form 20 years ago, recommender systems have proven a valuable tool for help users manage information overload.Two decades of… (more)

Subjects/Keywords: Human-computer interaction; Recommender systems

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

APA (6th Edition):

Ekstrand, M. (2014). Towards Recommender Engineering: tools and experiments for identifying recommender differences. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165307

Chicago Manual of Style (16th Edition):

Ekstrand, Michael. “Towards Recommender Engineering: tools and experiments for identifying recommender differences.” 2014. Doctoral Dissertation, University of Minnesota. Accessed March 09, 2021. http://hdl.handle.net/11299/165307.

MLA Handbook (7th Edition):

Ekstrand, Michael. “Towards Recommender Engineering: tools and experiments for identifying recommender differences.” 2014. Web. 09 Mar 2021.

Vancouver:

Ekstrand M. Towards Recommender Engineering: tools and experiments for identifying recommender differences. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11299/165307.

Council of Science Editors:

Ekstrand M. Towards Recommender Engineering: tools and experiments for identifying recommender differences. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165307


University of Minnesota

12. Christakopoulou, Evangelia. Improving the Quality of Top-N Recommendation.

Degree: PhD, Computer Science, 2018, University of Minnesota

 Top-N recommenders are systems that provide a ranked list of N products to every user; the recommendations are of items that the user will potentially… (more)

Subjects/Keywords: Recommender Systems; Top-N Recommendation

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

APA (6th Edition):

Christakopoulou, E. (2018). Improving the Quality of Top-N Recommendation. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/195398

Chicago Manual of Style (16th Edition):

Christakopoulou, Evangelia. “Improving the Quality of Top-N Recommendation.” 2018. Doctoral Dissertation, University of Minnesota. Accessed March 09, 2021. http://hdl.handle.net/11299/195398.

MLA Handbook (7th Edition):

Christakopoulou, Evangelia. “Improving the Quality of Top-N Recommendation.” 2018. Web. 09 Mar 2021.

Vancouver:

Christakopoulou E. Improving the Quality of Top-N Recommendation. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11299/195398.

Council of Science Editors:

Christakopoulou E. Improving the Quality of Top-N Recommendation. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/195398


McGill University

13. Garden, Matthew. On the Use of Semantic Feedback in Recommender Systems.

Degree: MS, School of Computer Science, 2004, McGill University

Cette thèse présente une nouvelle approche aux systèmes de recommender. Les systèmes de recommender précédents bases sur filtrer en collaboration sollicitent typiquement les réactions d'utilisateur… (more)

Subjects/Keywords: Recommender systems

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

APA (6th Edition):

Garden, M. (2004). On the Use of Semantic Feedback in Recommender Systems. (Masters Thesis). McGill University. Retrieved from https://escholarship.mcgill.ca/downloads/rx913s18d.pdf ; https://escholarship.mcgill.ca/concern/theses/m613n093t

Chicago Manual of Style (16th Edition):

Garden, Matthew. “On the Use of Semantic Feedback in Recommender Systems.” 2004. Masters Thesis, McGill University. Accessed March 09, 2021. https://escholarship.mcgill.ca/downloads/rx913s18d.pdf ; https://escholarship.mcgill.ca/concern/theses/m613n093t.

MLA Handbook (7th Edition):

Garden, Matthew. “On the Use of Semantic Feedback in Recommender Systems.” 2004. Web. 09 Mar 2021.

Vancouver:

Garden M. On the Use of Semantic Feedback in Recommender Systems. [Internet] [Masters thesis]. McGill University; 2004. [cited 2021 Mar 09]. Available from: https://escholarship.mcgill.ca/downloads/rx913s18d.pdf ; https://escholarship.mcgill.ca/concern/theses/m613n093t.

Council of Science Editors:

Garden M. On the Use of Semantic Feedback in Recommender Systems. [Masters Thesis]. McGill University; 2004. Available from: https://escholarship.mcgill.ca/downloads/rx913s18d.pdf ; https://escholarship.mcgill.ca/concern/theses/m613n093t


University of New South Wales

14. Zhou, Bowen. Advanced Collaborative Filtering and Image-based Recommender Systems.

Degree: Computer Science & Engineering, 2017, University of New South Wales

 Due to burst of growth of information available all over the world, it has been of great necessity to retrieve most suitable data from the… (more)

Subjects/Keywords: Collaborative Filtering; Recommender Systems

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

APA (6th Edition):

Zhou, B. (2017). Advanced Collaborative Filtering and Image-based Recommender Systems. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true

Chicago Manual of Style (16th Edition):

Zhou, Bowen. “Advanced Collaborative Filtering and Image-based Recommender Systems.” 2017. Masters Thesis, University of New South Wales. Accessed March 09, 2021. http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true.

MLA Handbook (7th Edition):

Zhou, Bowen. “Advanced Collaborative Filtering and Image-based Recommender Systems.” 2017. Web. 09 Mar 2021.

Vancouver:

Zhou B. Advanced Collaborative Filtering and Image-based Recommender Systems. [Internet] [Masters thesis]. University of New South Wales; 2017. [cited 2021 Mar 09]. Available from: http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true.

Council of Science Editors:

Zhou B. Advanced Collaborative Filtering and Image-based Recommender Systems. [Masters Thesis]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true


University of Johannesburg

15. Leonard, Justin Sean. PerTrust : leveraging personality and trust for group recommendations.

Degree: 2014, University of Johannesburg

M.Sc. (Information Technology)

Recommender systems assist a system user to identify relevant content within a specific context. This is typically performed through an analysis of… (more)

Subjects/Keywords: Recommender systems (Information filtering); Information filtering systems

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

APA (6th Edition):

Leonard, J. S. (2014). PerTrust : leveraging personality and trust for group recommendations. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/11364

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):

Leonard, Justin Sean. “PerTrust : leveraging personality and trust for group recommendations.” 2014. Thesis, University of Johannesburg. Accessed March 09, 2021. http://hdl.handle.net/10210/11364.

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

MLA Handbook (7th Edition):

Leonard, Justin Sean. “PerTrust : leveraging personality and trust for group recommendations.” 2014. Web. 09 Mar 2021.

Vancouver:

Leonard JS. PerTrust : leveraging personality and trust for group recommendations. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10210/11364.

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

Council of Science Editors:

Leonard JS. PerTrust : leveraging personality and trust for group recommendations. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/11364

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


University of Minnesota

16. Narayan, Anshuman. What is the Value of Rating Obscure Items? An Analysis of the Effect of Less-Popular Items on Recommendation Quality.

Degree: MS, Computer Science, 2019, University of Minnesota

Recommender systems designers believe that the system stands to benefit from the users rating items that do not have many ratings. However, the effect of… (more)

Subjects/Keywords: Matrix Factorization techniques; New user; Recommender System design; Recommender Systems

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

APA (6th Edition):

Narayan, A. (2019). What is the Value of Rating Obscure Items? An Analysis of the Effect of Less-Popular Items on Recommendation Quality. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206148

Chicago Manual of Style (16th Edition):

Narayan, Anshuman. “What is the Value of Rating Obscure Items? An Analysis of the Effect of Less-Popular Items on Recommendation Quality.” 2019. Masters Thesis, University of Minnesota. Accessed March 09, 2021. http://hdl.handle.net/11299/206148.

MLA Handbook (7th Edition):

Narayan, Anshuman. “What is the Value of Rating Obscure Items? An Analysis of the Effect of Less-Popular Items on Recommendation Quality.” 2019. Web. 09 Mar 2021.

Vancouver:

Narayan A. What is the Value of Rating Obscure Items? An Analysis of the Effect of Less-Popular Items on Recommendation Quality. [Internet] [Masters thesis]. University of Minnesota; 2019. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11299/206148.

Council of Science Editors:

Narayan A. What is the Value of Rating Obscure Items? An Analysis of the Effect of Less-Popular Items on Recommendation Quality. [Masters Thesis]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/206148


Texas State University – San Marcos

17. Mahant, Vaibhav. Improving Top-N Evaluation of Recommender Systems.

Degree: MS, Computer Science, 2016, Texas State University – San Marcos

Recommender systems are used to provide the user with a list of recommended items to help user find new items they might prefer. One of… (more)

Subjects/Keywords: Recommender Systems; Evaluation; Recommender systems (Information filtering); Management information systems; Artificial intelligence – Data processing

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

APA (6th Edition):

Mahant, V. (2016). Improving Top-N Evaluation of Recommender Systems. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6309

Chicago Manual of Style (16th Edition):

Mahant, Vaibhav. “Improving Top-N Evaluation of Recommender Systems.” 2016. Masters Thesis, Texas State University – San Marcos. Accessed March 09, 2021. https://digital.library.txstate.edu/handle/10877/6309.

MLA Handbook (7th Edition):

Mahant, Vaibhav. “Improving Top-N Evaluation of Recommender Systems.” 2016. Web. 09 Mar 2021.

Vancouver:

Mahant V. Improving Top-N Evaluation of Recommender Systems. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2021 Mar 09]. Available from: https://digital.library.txstate.edu/handle/10877/6309.

Council of Science Editors:

Mahant V. Improving Top-N Evaluation of Recommender Systems. [Masters Thesis]. Texas State University – San Marcos; 2016. Available from: https://digital.library.txstate.edu/handle/10877/6309


University of California – Irvine

18. Seaver, Nicholas Patrick. Computing Taste: The Making of Algorithmic Music Recommendation.

Degree: Anthropology, 2015, University of California – Irvine

 This dissertation reports on several years of multi-sited ethnographic fieldwork with the developers of algorithmic music recommendation systems in the US. It identifies and contributes… (more)

Subjects/Keywords: Cultural anthropology; algorithms; music; recommender systems

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

APA (6th Edition):

Seaver, N. P. (2015). Computing Taste: The Making of Algorithmic Music Recommendation. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/1p64m732

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):

Seaver, Nicholas Patrick. “Computing Taste: The Making of Algorithmic Music Recommendation.” 2015. Thesis, University of California – Irvine. Accessed March 09, 2021. http://www.escholarship.org/uc/item/1p64m732.

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

MLA Handbook (7th Edition):

Seaver, Nicholas Patrick. “Computing Taste: The Making of Algorithmic Music Recommendation.” 2015. Web. 09 Mar 2021.

Vancouver:

Seaver NP. Computing Taste: The Making of Algorithmic Music Recommendation. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2021 Mar 09]. Available from: http://www.escholarship.org/uc/item/1p64m732.

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

Council of Science Editors:

Seaver NP. Computing Taste: The Making of Algorithmic Music Recommendation. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/1p64m732

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


Ryerson University

19. Sivapalan, Sanjeevan. A genetic algorithm approach to recommender system cold start problem.

Degree: 2015, Ryerson University

Recommender systems (RS) are ubiquitous and used in many systems to augment user experience to improve usability and they achieve this by helping users discover… (more)

Subjects/Keywords: Recommender systems (Information filtering); Genetic algorithms.

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

APA (6th Edition):

Sivapalan, S. (2015). A genetic algorithm approach to recommender system cold start problem. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3664

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):

Sivapalan, Sanjeevan. “A genetic algorithm approach to recommender system cold start problem.” 2015. Thesis, Ryerson University. Accessed March 09, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A3664.

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

MLA Handbook (7th Edition):

Sivapalan, Sanjeevan. “A genetic algorithm approach to recommender system cold start problem.” 2015. Web. 09 Mar 2021.

Vancouver:

Sivapalan S. A genetic algorithm approach to recommender system cold start problem. [Internet] [Thesis]. Ryerson University; 2015. [cited 2021 Mar 09]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3664.

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

Council of Science Editors:

Sivapalan S. A genetic algorithm approach to recommender system cold start problem. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3664

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


Ryerson University

20. Islam, Masudul. Personalized recommender system on whom to follow in Twitter.

Degree: 2014, Ryerson University

Recommender systems have been widely used in social networking sites. In this thesis, we propose a novel approach to recommend new followees to Twitter users… (more)

Subjects/Keywords: Recommender systems (Information filtering); Online social networks

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

APA (6th Edition):

Islam, M. (2014). Personalized recommender system on whom to follow in Twitter. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A2958

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):

Islam, Masudul. “Personalized recommender system on whom to follow in Twitter.” 2014. Thesis, Ryerson University. Accessed March 09, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A2958.

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

MLA Handbook (7th Edition):

Islam, Masudul. “Personalized recommender system on whom to follow in Twitter.” 2014. Web. 09 Mar 2021.

Vancouver:

Islam M. Personalized recommender system on whom to follow in Twitter. [Internet] [Thesis]. Ryerson University; 2014. [cited 2021 Mar 09]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2958.

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

Council of Science Editors:

Islam M. Personalized recommender system on whom to follow in Twitter. [Thesis]. Ryerson University; 2014. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2958

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


Temple University

21. Zhao, Feipeng. Learning Top-N Recommender Systems with Implicit Feedbacks.

Degree: PhD, 2017, Temple University

Computer and Information Science

Top-N recommender systems automatically recommend N items for users from huge amounts of products. Personalized Top-N recommender systems have great impact… (more)

Subjects/Keywords: Computer science;

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

APA (6th Edition):

Zhao, F. (2017). Learning Top-N Recommender Systems with Implicit Feedbacks. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,450099

Chicago Manual of Style (16th Edition):

Zhao, Feipeng. “Learning Top-N Recommender Systems with Implicit Feedbacks.” 2017. Doctoral Dissertation, Temple University. Accessed March 09, 2021. http://digital.library.temple.edu/u?/p245801coll10,450099.

MLA Handbook (7th Edition):

Zhao, Feipeng. “Learning Top-N Recommender Systems with Implicit Feedbacks.” 2017. Web. 09 Mar 2021.

Vancouver:

Zhao F. Learning Top-N Recommender Systems with Implicit Feedbacks. [Internet] [Doctoral dissertation]. Temple University; 2017. [cited 2021 Mar 09]. Available from: http://digital.library.temple.edu/u?/p245801coll10,450099.

Council of Science Editors:

Zhao F. Learning Top-N Recommender Systems with Implicit Feedbacks. [Doctoral Dissertation]. Temple University; 2017. Available from: http://digital.library.temple.edu/u?/p245801coll10,450099


Texas A&M University

22. Jayarathna, Ukwatta Kankanamalage Sampath. Unified Implicit and Explicit Feedback for Multi-Application User Interest Modeling.

Degree: PhD, Computer Science, 2016, Texas A&M University

 A user often interacts with multiple applications while working on a task. User models can be developed individually at each of the individual applications, but… (more)

Subjects/Keywords: user interest modeling; relevance feedback; recommender systems

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

APA (6th Edition):

Jayarathna, U. K. S. (2016). Unified Implicit and Explicit Feedback for Multi-Application User Interest Modeling. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158044

Chicago Manual of Style (16th Edition):

Jayarathna, Ukwatta Kankanamalage Sampath. “Unified Implicit and Explicit Feedback for Multi-Application User Interest Modeling.” 2016. Doctoral Dissertation, Texas A&M University. Accessed March 09, 2021. http://hdl.handle.net/1969.1/158044.

MLA Handbook (7th Edition):

Jayarathna, Ukwatta Kankanamalage Sampath. “Unified Implicit and Explicit Feedback for Multi-Application User Interest Modeling.” 2016. Web. 09 Mar 2021.

Vancouver:

Jayarathna UKS. Unified Implicit and Explicit Feedback for Multi-Application User Interest Modeling. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1969.1/158044.

Council of Science Editors:

Jayarathna UKS. Unified Implicit and Explicit Feedback for Multi-Application User Interest Modeling. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158044


University of Toronto

23. Russell, Travis. An MDP-based Coupon Issuing System.

Degree: 2015, University of Toronto

We present a system based on the work of Shani et al. [An MDP-based recommender system," Journal of Machine Learning Research, vol. 6, pp. 1265-1295,… (more)

Subjects/Keywords: machine learning; probabilistic models; recommender systems; 0405

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

APA (6th Edition):

Russell, T. (2015). An MDP-based Coupon Issuing System. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70564

Chicago Manual of Style (16th Edition):

Russell, Travis. “An MDP-based Coupon Issuing System.” 2015. Masters Thesis, University of Toronto. Accessed March 09, 2021. http://hdl.handle.net/1807/70564.

MLA Handbook (7th Edition):

Russell, Travis. “An MDP-based Coupon Issuing System.” 2015. Web. 09 Mar 2021.

Vancouver:

Russell T. An MDP-based Coupon Issuing System. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1807/70564.

Council of Science Editors:

Russell T. An MDP-based Coupon Issuing System. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70564

24. Soomro, Kamran. HyDRA hybrid workflow design recommender architecture.

Degree: PhD, 2016, University of the West of England, Bristol

 Workflows are a way to describe a series of computations on raw e-Science data. These data may be MRI brain scans, data from a high… (more)

Subjects/Keywords: 006.3; HyDRA; recommender systems; semantics; workflows

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

APA (6th Edition):

Soomro, K. (2016). HyDRA hybrid workflow design recommender architecture. (Doctoral Dissertation). University of the West of England, Bristol. Retrieved from https://uwe-repository.worktribe.com/output/911414 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680875

Chicago Manual of Style (16th Edition):

Soomro, Kamran. “HyDRA hybrid workflow design recommender architecture.” 2016. Doctoral Dissertation, University of the West of England, Bristol. Accessed March 09, 2021. https://uwe-repository.worktribe.com/output/911414 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680875.

MLA Handbook (7th Edition):

Soomro, Kamran. “HyDRA hybrid workflow design recommender architecture.” 2016. Web. 09 Mar 2021.

Vancouver:

Soomro K. HyDRA hybrid workflow design recommender architecture. [Internet] [Doctoral dissertation]. University of the West of England, Bristol; 2016. [cited 2021 Mar 09]. Available from: https://uwe-repository.worktribe.com/output/911414 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680875.

Council of Science Editors:

Soomro K. HyDRA hybrid workflow design recommender architecture. [Doctoral Dissertation]. University of the West of England, Bristol; 2016. Available from: https://uwe-repository.worktribe.com/output/911414 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680875


Tampere University

25. Machado, Lucas. Fair team recommendations for multidisciplinary projects .

Degree: 2019, Tampere University

 With the ever increasing amount of data in the world, it becomes harder to find useful and desired information. Recommender systems, which offer a way… (more)

Subjects/Keywords: recommender systems; fairness; group formation; team recommendation

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

APA (6th Edition):

Machado, L. (2019). Fair team recommendations for multidisciplinary projects . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/105736

Chicago Manual of Style (16th Edition):

Machado, Lucas. “Fair team recommendations for multidisciplinary projects .” 2019. Masters Thesis, Tampere University. Accessed March 09, 2021. https://trepo.tuni.fi/handle/10024/105736.

MLA Handbook (7th Edition):

Machado, Lucas. “Fair team recommendations for multidisciplinary projects .” 2019. Web. 09 Mar 2021.

Vancouver:

Machado L. Fair team recommendations for multidisciplinary projects . [Internet] [Masters thesis]. Tampere University; 2019. [cited 2021 Mar 09]. Available from: https://trepo.tuni.fi/handle/10024/105736.

Council of Science Editors:

Machado L. Fair team recommendations for multidisciplinary projects . [Masters Thesis]. Tampere University; 2019. Available from: https://trepo.tuni.fi/handle/10024/105736


Hong Kong University of Science and Technology

26. Chen, Tianwen CSE. Session-based recommendation with local invariance.

Degree: 2019, Hong Kong University of Science and Technology

 Session-based recommendation is a task to predict users’ next actions given a sequence of previous actions in the same session. Existing methods either encode the… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Mathematical models

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

APA (6th Edition):

Chen, T. C. (2019). Session-based recommendation with local invariance. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-102332 ; https://doi.org/10.14711/thesis-991012757569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-102332/1/th_redirect.html

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, Tianwen CSE. “Session-based recommendation with local invariance.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed March 09, 2021. http://repository.ust.hk/ir/Record/1783.1-102332 ; https://doi.org/10.14711/thesis-991012757569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-102332/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Chen, Tianwen CSE. “Session-based recommendation with local invariance.” 2019. Web. 09 Mar 2021.

Vancouver:

Chen TC. Session-based recommendation with local invariance. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2021 Mar 09]. Available from: http://repository.ust.hk/ir/Record/1783.1-102332 ; https://doi.org/10.14711/thesis-991012757569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-102332/1/th_redirect.html.

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

Council of Science Editors:

Chen TC. Session-based recommendation with local invariance. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-102332 ; https://doi.org/10.14711/thesis-991012757569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-102332/1/th_redirect.html

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


University of Edinburgh

27. Givon, Sharon. Predicting and using social tags to improve the accuracy and transparency of recommender systems.

Degree: PhD, 2011, University of Edinburgh

 This thesis describes work on using content to improve recommendation systems. Personalised recommendations help potential buyers filter information and identify products that they might be… (more)

Subjects/Keywords: 300.285; recommender systems; social tags; textual content

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

APA (6th Edition):

Givon, S. (2011). Predicting and using social tags to improve the accuracy and transparency of recommender systems. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/5770

Chicago Manual of Style (16th Edition):

Givon, Sharon. “Predicting and using social tags to improve the accuracy and transparency of recommender systems.” 2011. Doctoral Dissertation, University of Edinburgh. Accessed March 09, 2021. http://hdl.handle.net/1842/5770.

MLA Handbook (7th Edition):

Givon, Sharon. “Predicting and using social tags to improve the accuracy and transparency of recommender systems.” 2011. Web. 09 Mar 2021.

Vancouver:

Givon S. Predicting and using social tags to improve the accuracy and transparency of recommender systems. [Internet] [Doctoral dissertation]. University of Edinburgh; 2011. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1842/5770.

Council of Science Editors:

Givon S. Predicting and using social tags to improve the accuracy and transparency of recommender systems. [Doctoral Dissertation]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/5770


Hong Kong University of Science and Technology

28. Lu, Zhongqi. Selective transfer learning for cross domain recommendation.

Degree: 2013, Hong Kong University of Science and Technology

 Collaborative Filtering (CF) aims to predict users’ ratings on items according to historical user-itempreference data. In many real-world applications, preference data are usually sparse, which… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Machine learning

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

APA (6th Edition):

Lu, Z. (2013). Selective transfer learning for cross domain recommendation. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html

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):

Lu, Zhongqi. “Selective transfer learning for cross domain recommendation.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed March 09, 2021. http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Lu, Zhongqi. “Selective transfer learning for cross domain recommendation.” 2013. Web. 09 Mar 2021.

Vancouver:

Lu Z. Selective transfer learning for cross domain recommendation. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2021 Mar 09]. Available from: http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html.

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

Council of Science Editors:

Lu Z. Selective transfer learning for cross domain recommendation. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html

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


Hong Kong University of Science and Technology

29. Lu, Zhongqi. Temporal dynamics in recommender systems.

Degree: 2017, Hong Kong University of Science and Technology

 We investigate on the temporal dynamics phenomenon in recommender systems. By analyzing the public dataset from real world applications, we find the temporal dynamics phenomenon… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Mathematical models ; Analysis

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

APA (6th Edition):

Lu, Z. (2017). Temporal dynamics in recommender systems. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html

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):

Lu, Zhongqi. “Temporal dynamics in recommender systems.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed March 09, 2021. http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Lu, Zhongqi. “Temporal dynamics in recommender systems.” 2017. Web. 09 Mar 2021.

Vancouver:

Lu Z. Temporal dynamics in recommender systems. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2021 Mar 09]. Available from: http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html.

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

Council of Science Editors:

Lu Z. Temporal dynamics in recommender systems. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html

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


Hong Kong University of Science and Technology

30. Liu, Bo CSE. Transferable bandit.

Degree: 2018, Hong Kong University of Science and Technology

 The booming development of Artificial Intelligence promotes a large number of online interactive services including recommender system (RecSys), online advertising, dialogue system, etc. These services… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Data processing

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

APA (6th Edition):

Liu, B. C. (2018). Transferable bandit. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html

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):

Liu, Bo CSE. “Transferable bandit.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed March 09, 2021. http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Liu, Bo CSE. “Transferable bandit.” 2018. Web. 09 Mar 2021.

Vancouver:

Liu BC. Transferable bandit. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2021 Mar 09]. Available from: http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html.

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

Council of Science Editors:

Liu BC. Transferable bandit. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html

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

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