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You searched for subject:(collaborative filtering recommender systems). Showing records 1 – 30 of 60554 total matches.

[1] [2] [3] [4] [5] … [2019]

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University of New South Wales

1. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Zhou B. Advanced Collaborative Filtering and Image-based Recommender Systems. [Internet] [Masters thesis]. University of New South Wales; 2017. [cited 2019 Jun 26]. 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 Texas – Austin

2. Edwards, James Adrian. Quantifying the multi-user account problem for collaborative filtering based recommender systems.

Degree: Electrical and Computer Engineering, 2009, University of Texas – Austin

 Identification based recommender systems make no distinction between users and accounts; all the data collected during account sessions are attributed to a single user. In… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Multi-user accounts

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APA (6th Edition):

Edwards, J. A. (2009). Quantifying the multi-user account problem for collaborative filtering based recommender systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2009-12-460

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):

Edwards, James Adrian. “Quantifying the multi-user account problem for collaborative filtering based recommender systems.” 2009. Thesis, University of Texas – Austin. Accessed June 26, 2019. http://hdl.handle.net/2152/ETD-UT-2009-12-460.

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

MLA Handbook (7th Edition):

Edwards, James Adrian. “Quantifying the multi-user account problem for collaborative filtering based recommender systems.” 2009. Web. 26 Jun 2019.

Vancouver:

Edwards JA. Quantifying the multi-user account problem for collaborative filtering based recommender systems. [Internet] [Thesis]. University of Texas – Austin; 2009. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2152/ETD-UT-2009-12-460.

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

Council of Science Editors:

Edwards JA. Quantifying the multi-user account problem for collaborative filtering based recommender systems. [Thesis]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/ETD-UT-2009-12-460

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


University of Minnesota

3. Kluver, Daniel. Improvements in Holistic Recommender System Research.

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

 Since the mid 1990s, recommender systems have grown to be a major area of deployment in industry, and research in academia. A through-line in this… (more)

Subjects/Keywords: Collaborative Filtering; Libraries; New User; Recommender Systems

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APA (6th Edition):

Kluver, D. (2018). Improvements in Holistic Recommender System Research. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201165

Chicago Manual of Style (16th Edition):

Kluver, Daniel. “Improvements in Holistic Recommender System Research.” 2018. Doctoral Dissertation, University of Minnesota. Accessed June 26, 2019. http://hdl.handle.net/11299/201165.

MLA Handbook (7th Edition):

Kluver, Daniel. “Improvements in Holistic Recommender System Research.” 2018. Web. 26 Jun 2019.

Vancouver:

Kluver D. Improvements in Holistic Recommender System Research. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/11299/201165.

Council of Science Editors:

Kluver D. Improvements in Holistic Recommender System Research. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201165


University of Technology, Sydney

4. 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 (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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Hao P. Cross-domain recommender system through tag-based models. [Internet] [Thesis]. University of Technology, Sydney; 2018. [cited 2019 Jun 26]. 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


Kansas State University

5. 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 June 26, 2019. http://hdl.handle.net/2097/6981.

MLA Handbook (7th Edition):

Karanam, Manikanta Babu. “Tackling the problems of diversity in recommender systems.” 2010. Web. 26 Jun 2019.

Vancouver:

Karanam MB. Tackling the problems of diversity in recommender systems. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2019 Jun 26]. 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


University of Ottawa

6. Alharthi, Haifa. The Use of Items Personality Profiles in Recommender Systems .

Degree: 2015, University of Ottawa

 Due to the growth of online shopping and services, various types of products can be recommended to an individual. After reviewing the current methods for… (more)

Subjects/Keywords: Cross-domain recommendations; Big Five Personality Traits; Recommender Systems; Collaborative filtering recommender

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

APA (6th Edition):

Alharthi, H. (2015). The Use of Items Personality Profiles in Recommender Systems . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31922

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):

Alharthi, Haifa. “The Use of Items Personality Profiles in Recommender Systems .” 2015. Thesis, University of Ottawa. Accessed June 26, 2019. http://hdl.handle.net/10393/31922.

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

MLA Handbook (7th Edition):

Alharthi, Haifa. “The Use of Items Personality Profiles in Recommender Systems .” 2015. Web. 26 Jun 2019.

Vancouver:

Alharthi H. The Use of Items Personality Profiles in Recommender Systems . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10393/31922.

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

Council of Science Editors:

Alharthi H. The Use of Items Personality Profiles in Recommender Systems . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/31922

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


Uppsala University

7. Elvander, Adam. Developing a Recommender System for a Mobile E-commerce Application.

Degree: Division of Computing Science, 2015, Uppsala University

  This thesis describes the process of conceptualizing and developing a recommendersystem for a peer-to-peer commerce application. The application in question is calledPlick and is… (more)

Subjects/Keywords: Recommender Systems; Collaborative Filtering; E-marketplace; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Elvander, A. (2015). Developing a Recommender System for a Mobile E-commerce Application. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747

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):

Elvander, Adam. “Developing a Recommender System for a Mobile E-commerce Application.” 2015. Thesis, Uppsala University. Accessed June 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747.

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

MLA Handbook (7th Edition):

Elvander, Adam. “Developing a Recommender System for a Mobile E-commerce Application.” 2015. Web. 26 Jun 2019.

Vancouver:

Elvander A. Developing a Recommender System for a Mobile E-commerce Application. [Internet] [Thesis]. Uppsala University; 2015. [cited 2019 Jun 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747.

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

Council of Science Editors:

Elvander A. Developing a Recommender System for a Mobile E-commerce Application. [Thesis]. Uppsala University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747

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


University of Cincinnati

8. NARAYANASWAMY, SHRIRAM. A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS.

Degree: MS, Engineering : Computer Science, 2007, University of Cincinnati

 In today’s consumer driven world, people are faced with the problem of plenty. Choices abound everywhere, be it in movies, books or music. Recommender systems(more)

Subjects/Keywords: Computer Science; collaborative filtering, recommender systems; lattice, concept, algorithm, Jester, Movielens

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

APA (6th Edition):

NARAYANASWAMY, S. (2007). A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016

Chicago Manual of Style (16th Edition):

NARAYANASWAMY, SHRIRAM. “A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS.” 2007. Masters Thesis, University of Cincinnati. Accessed June 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016.

MLA Handbook (7th Edition):

NARAYANASWAMY, SHRIRAM. “A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS.” 2007. Web. 26 Jun 2019.

Vancouver:

NARAYANASWAMY S. A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS. [Internet] [Masters thesis]. University of Cincinnati; 2007. [cited 2019 Jun 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016.

Council of Science Editors:

NARAYANASWAMY S. A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS. [Masters Thesis]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016


NSYSU

9. Lu, Chia-Ju. Item-level Trust-based Collaborative Filtering Approach to Recommender Systems.

Degree: Master, Information Management, 2008, NSYSU

 With the rapid growth of Internet, more and more information is disseminated in the World Wide Web. It is therefore not an easy task to… (more)

Subjects/Keywords: recommender systems; collaborative filtering; sparsity; item-based CF; trust-based CF

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

APA (6th Edition):

Lu, C. (2008). Item-level Trust-based Collaborative Filtering Approach to Recommender Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134

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, Chia-Ju. “Item-level Trust-based Collaborative Filtering Approach to Recommender Systems.” 2008. Thesis, NSYSU. Accessed June 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134.

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

MLA Handbook (7th Edition):

Lu, Chia-Ju. “Item-level Trust-based Collaborative Filtering Approach to Recommender Systems.” 2008. Web. 26 Jun 2019.

Vancouver:

Lu C. Item-level Trust-based Collaborative Filtering Approach to Recommender Systems. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Jun 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134.

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

Council of Science Editors:

Lu C. Item-level Trust-based Collaborative Filtering Approach to Recommender Systems. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134

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


University of Georgia

10. Jahangeer, Khalid. An open science approach to exploring time-accuracy trade-offs in recommender systems.

Degree: MS, Computer Science, 2017, University of Georgia

Recommender Systems have become an integral part of our consumer dominated world. With the evolution of Big Data and the exponential expansion of consumerism it… (more)

Subjects/Keywords: Recommender Systems; Collaborative Filtering; Matrix Factorization; Singular Value Decomposition

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

APA (6th Edition):

Jahangeer, K. (2017). An open science approach to exploring time-accuracy trade-offs in recommender systems. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37801

Chicago Manual of Style (16th Edition):

Jahangeer, Khalid. “An open science approach to exploring time-accuracy trade-offs in recommender systems.” 2017. Masters Thesis, University of Georgia. Accessed June 26, 2019. http://hdl.handle.net/10724/37801.

MLA Handbook (7th Edition):

Jahangeer, Khalid. “An open science approach to exploring time-accuracy trade-offs in recommender systems.” 2017. Web. 26 Jun 2019.

Vancouver:

Jahangeer K. An open science approach to exploring time-accuracy trade-offs in recommender systems. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10724/37801.

Council of Science Editors:

Jahangeer K. An open science approach to exploring time-accuracy trade-offs in recommender systems. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37801


Georgia Tech

11. Zou, Jun. Social computing for personalization and credible information mining using probabilistic graphical models.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 In this dissertation, we address challenging social computing problems in personalized recommender systems and social media information mining. We tap into probabilistic graphical models, including… (more)

Subjects/Keywords: Social computing; Recommender systems; Collaborative filtering; Belief propagation; Probabilistic graphical models

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APA (6th Edition):

Zou, J. (2016). Social computing for personalization and credible information mining using probabilistic graphical models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55646

Chicago Manual of Style (16th Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Doctoral Dissertation, Georgia Tech. Accessed June 26, 2019. http://hdl.handle.net/1853/55646.

MLA Handbook (7th Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Web. 26 Jun 2019.

Vancouver:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1853/55646.

Council of Science Editors:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55646


Universidade Nova

12. Dias, Pedro Ricardo Gomes. Recommending media content based on machine learning methods.

Degree: 2011, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Information is nowadays made available and consumed faster than ever before. This information technology generation… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Matrix factorization; Groupbased recommendations; Interactive TV

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APA (6th Edition):

Dias, P. R. G. (2011). Recommending media content based on machine learning methods. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581

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):

Dias, Pedro Ricardo Gomes. “Recommending media content based on machine learning methods.” 2011. Thesis, Universidade Nova. Accessed June 26, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581.

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

MLA Handbook (7th Edition):

Dias, Pedro Ricardo Gomes. “Recommending media content based on machine learning methods.” 2011. Web. 26 Jun 2019.

Vancouver:

Dias PRG. Recommending media content based on machine learning methods. [Internet] [Thesis]. Universidade Nova; 2011. [cited 2019 Jun 26]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581.

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

Council of Science Editors:

Dias PRG. Recommending media content based on machine learning methods. [Thesis]. Universidade Nova; 2011. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/6581

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


Rochester Institute of Technology

13. Matus Nicodemos, Marcelo. Information-Based Neighborhood Modeling.

Degree: MS, Information Sciences and Technologies (GCCIS), 2017, Rochester Institute of Technology

  Since the inception of the World Wide Web, the amount of data present on websites and internet infrastructure has grown exponentially that researchers continuously… (more)

Subjects/Keywords: Collaborative filtering; Data; DIKW hierarchy; Information; k-Nearest neighbor; Recommender systems

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

APA (6th Edition):

Matus Nicodemos, M. (2017). Information-Based Neighborhood Modeling. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9461

Chicago Manual of Style (16th Edition):

Matus Nicodemos, Marcelo. “Information-Based Neighborhood Modeling.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed June 26, 2019. https://scholarworks.rit.edu/theses/9461.

MLA Handbook (7th Edition):

Matus Nicodemos, Marcelo. “Information-Based Neighborhood Modeling.” 2017. Web. 26 Jun 2019.

Vancouver:

Matus Nicodemos M. Information-Based Neighborhood Modeling. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Jun 26]. Available from: https://scholarworks.rit.edu/theses/9461.

Council of Science Editors:

Matus Nicodemos M. Information-Based Neighborhood Modeling. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9461


University of New South Wales

14. Chowdhury, Nipa. Collaborative learning for recommender systems by boosting and non-parametric methods.

Degree: Computer Science & Engineering, 2016, University of New South Wales

 As the Internet becomes larger in size, its information content threatens to be-come overwhelming. Therefore, recommender systems have gained much attentionin information retrieval to guide… (more)

Subjects/Keywords: Matrix Factorisation,; Recommender Systems,; Collaborative Filtering,; Boosting,; Non-parametric methods

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APA (6th Edition):

Chowdhury, N. (2016). Collaborative learning for recommender systems by boosting and non-parametric methods. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58816 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47632/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Chowdhury, Nipa. “Collaborative learning for recommender systems by boosting and non-parametric methods.” 2016. Doctoral Dissertation, University of New South Wales. Accessed June 26, 2019. http://handle.unsw.edu.au/1959.4/58816 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47632/SOURCE02?view=true.

MLA Handbook (7th Edition):

Chowdhury, Nipa. “Collaborative learning for recommender systems by boosting and non-parametric methods.” 2016. Web. 26 Jun 2019.

Vancouver:

Chowdhury N. Collaborative learning for recommender systems by boosting and non-parametric methods. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 Jun 26]. Available from: http://handle.unsw.edu.au/1959.4/58816 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47632/SOURCE02?view=true.

Council of Science Editors:

Chowdhury N. Collaborative learning for recommender systems by boosting and non-parametric methods. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/58816 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47632/SOURCE02?view=true


NSYSU

15. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Wu C. LDA-based Group Recommendation on Documents. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Jun 26]. 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

16. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Jun 26]. 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

17. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Badsha S. Privacy preserving recommender systems. [Internet] [Thesis]. RMIT University; 2018. [cited 2019 Jun 26]. 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


KTH

18. 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)

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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 June 26, 2019. 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. 26 Jun 2019.

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 2019 Jun 26]. 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

19. Johansson, Kristoffer. Automatiska rekommendationer i butik.

Degree: Education and IT, 2015, University of Borås

Detaljhandeln i fysiska butiker är utsatt av konkurrens från en betydligt mer innovationsrik e-handel och har därför ett behov av att vidareutvecklas. Ett sätt… (more)

Subjects/Keywords: collaborative filtering; retail; recommender systems; recommendations; collaborative filtering; butik; rekommendationssystem; rekommendationer; 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):

Johansson, K. (2015). Automatiska rekommendationer i butik. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031

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):

Johansson, Kristoffer. “Automatiska rekommendationer i butik.” 2015. Thesis, University of Borås. Accessed June 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031.

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

MLA Handbook (7th Edition):

Johansson, Kristoffer. “Automatiska rekommendationer i butik.” 2015. Web. 26 Jun 2019.

Vancouver:

Johansson K. Automatiska rekommendationer i butik. [Internet] [Thesis]. University of Borås; 2015. [cited 2019 Jun 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031.

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

Council of Science Editors:

Johansson K. Automatiska rekommendationer i butik. [Thesis]. University of Borås; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031

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


Queensland University of Technology

20. Weng, Li-Tung. Information enrichment for quality recommender systems.

Degree: 2008, Queensland University of Technology

 The explosive growth of the World-Wide-Web and the emergence of ecommerce are the major two factors that have led to the development of recommender systems(more)

Subjects/Keywords: collaborative filtering; cold-start problem; distributed systems; ecommerce; product taxonomy; recommendation novelty; recommender systems

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

APA (6th Edition):

Weng, L. (2008). Information enrichment for quality recommender systems. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/29165/

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):

Weng, Li-Tung. “Information enrichment for quality recommender systems.” 2008. Thesis, Queensland University of Technology. Accessed June 26, 2019. https://eprints.qut.edu.au/29165/.

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

MLA Handbook (7th Edition):

Weng, Li-Tung. “Information enrichment for quality recommender systems.” 2008. Web. 26 Jun 2019.

Vancouver:

Weng L. Information enrichment for quality recommender systems. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Jun 26]. Available from: https://eprints.qut.edu.au/29165/.

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

Council of Science Editors:

Weng L. Information enrichment for quality recommender systems. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/29165/

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

21. 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

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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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Bergqvist M. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie. [Internet] [Thesis]. University of Borås; 2018. [cited 2019 Jun 26]. 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 Colorado

22. Gartrell, Charles Michael. Enhancing Recommender Systems Using Social Indicators.

Degree: PhD, Computer Science, 2014, University of Colorado

Recommender systems are increasingly driving user experiences on the Internet. In recent years, online social networks have quickly become the fastest growing part of… (more)

Subjects/Keywords: collaborative filtering; group recommendation; machine learning; mobile computing; recommender systems; social networks; Computer Sciences

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

APA (6th Edition):

Gartrell, C. M. (2014). Enhancing Recommender Systems Using Social Indicators. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/3

Chicago Manual of Style (16th Edition):

Gartrell, Charles Michael. “Enhancing Recommender Systems Using Social Indicators.” 2014. Doctoral Dissertation, University of Colorado. Accessed June 26, 2019. http://scholar.colorado.edu/csci_gradetds/3.

MLA Handbook (7th Edition):

Gartrell, Charles Michael. “Enhancing Recommender Systems Using Social Indicators.” 2014. Web. 26 Jun 2019.

Vancouver:

Gartrell CM. Enhancing Recommender Systems Using Social Indicators. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2019 Jun 26]. Available from: http://scholar.colorado.edu/csci_gradetds/3.

Council of Science Editors:

Gartrell CM. Enhancing Recommender Systems Using Social Indicators. [Doctoral Dissertation]. University of Colorado; 2014. Available from: http://scholar.colorado.edu/csci_gradetds/3


Queensland University of Technology

23. Tang, Xiaoyu. Multidimensional recommendation framework based on the incorporation of nearest neighbourhood and tensor factorisation.

Degree: 2016, Queensland University of Technology

 This thesis investigated in depth the distinctive relations between users, items, and tags in recommender systems. This thesis proposed a number of novel techniques to… (more)

Subjects/Keywords: Collaborative Filtering; User Profiling; Recommender Systems; Multidimensional datasets; Folksonomy; Tags; Taxonomy; Personalisation

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

APA (6th Edition):

Tang, X. (2016). Multidimensional recommendation framework based on the incorporation of nearest neighbourhood and tensor factorisation. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/96195/

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):

Tang, Xiaoyu. “Multidimensional recommendation framework based on the incorporation of nearest neighbourhood and tensor factorisation.” 2016. Thesis, Queensland University of Technology. Accessed June 26, 2019. http://eprints.qut.edu.au/96195/.

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

MLA Handbook (7th Edition):

Tang, Xiaoyu. “Multidimensional recommendation framework based on the incorporation of nearest neighbourhood and tensor factorisation.” 2016. Web. 26 Jun 2019.

Vancouver:

Tang X. Multidimensional recommendation framework based on the incorporation of nearest neighbourhood and tensor factorisation. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2019 Jun 26]. Available from: http://eprints.qut.edu.au/96195/.

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

Council of Science Editors:

Tang X. Multidimensional recommendation framework based on the incorporation of nearest neighbourhood and tensor factorisation. [Thesis]. Queensland University of Technology; 2016. Available from: http://eprints.qut.edu.au/96195/

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


Uppsala University

24. Strömqvist, Zakris. Matrix factorization in recommender systems : How sensitive are matrix factorization models to sparsity?.

Degree: Statistics, 2018, Uppsala University

  One of the most popular methods in recommender systems are matrix factorization (MF) models. In this paper, the sensitivity of sparsity of these models… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Matrix factorization; Probability Theory and Statistics; Sannolikhetsteori och statistik

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

APA (6th Edition):

Strömqvist, Z. (2018). Matrix factorization in recommender systems : How sensitive are matrix factorization models to sparsity?. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352653

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):

Strömqvist, Zakris. “Matrix factorization in recommender systems : How sensitive are matrix factorization models to sparsity?.” 2018. Thesis, Uppsala University. Accessed June 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352653.

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

MLA Handbook (7th Edition):

Strömqvist, Zakris. “Matrix factorization in recommender systems : How sensitive are matrix factorization models to sparsity?.” 2018. Web. 26 Jun 2019.

Vancouver:

Strömqvist Z. Matrix factorization in recommender systems : How sensitive are matrix factorization models to sparsity?. [Internet] [Thesis]. Uppsala University; 2018. [cited 2019 Jun 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352653.

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

Council of Science Editors:

Strömqvist Z. Matrix factorization in recommender systems : How sensitive are matrix factorization models to sparsity?. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352653

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


University of Western Ontario

25. Bachmann, Dennis E. Contextual Model-Based Collaborative Filtering for Recommender Systems.

Degree: 2017, University of Western Ontario

Recommender systems have dramatically changed the way we consume content. Internet applications rely on these systems to help users navigate among the ever-increasing number of… (more)

Subjects/Keywords: Recommender System; Collaborative Filtering; Context Aware; Local Learning; Instance Selection; Computer and Systems Architecture

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

APA (6th Edition):

Bachmann, D. E. (2017). Contextual Model-Based Collaborative Filtering for Recommender Systems. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4466

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):

Bachmann, Dennis E. “Contextual Model-Based Collaborative Filtering for Recommender Systems.” 2017. Thesis, University of Western Ontario. Accessed June 26, 2019. https://ir.lib.uwo.ca/etd/4466.

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

MLA Handbook (7th Edition):

Bachmann, Dennis E. “Contextual Model-Based Collaborative Filtering for Recommender Systems.” 2017. Web. 26 Jun 2019.

Vancouver:

Bachmann DE. Contextual Model-Based Collaborative Filtering for Recommender Systems. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 Jun 26]. Available from: https://ir.lib.uwo.ca/etd/4466.

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

Council of Science Editors:

Bachmann DE. Contextual Model-Based Collaborative Filtering for Recommender Systems. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4466

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

26. Castells, Pablo. Structured collaborative filtering.

Degree: 2018, ACM

Subjects/Keywords: Collaborative filtering; Recommender systems; Synonymy; Informática

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APA (6th Edition):

Castells, P. (2018). Structured collaborative filtering. (Thesis). ACM. Retrieved from http://hdl.handle.net/10486/665116

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):

Castells, Pablo. “Structured collaborative filtering.” 2018. Thesis, ACM. Accessed June 26, 2019. http://hdl.handle.net/10486/665116.

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

MLA Handbook (7th Edition):

Castells, Pablo. “Structured collaborative filtering.” 2018. Web. 26 Jun 2019.

Vancouver:

Castells P. Structured collaborative filtering. [Internet] [Thesis]. ACM; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10486/665116.

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

Council of Science Editors:

Castells P. Structured collaborative filtering. [Thesis]. ACM; 2018. Available from: http://hdl.handle.net/10486/665116

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

27. Fernández-Tobías, Ignacio. On the exploitation of user personality in recommender systems.

Degree: 2018, Mouzhi Ge; Francesco Ricci

Subjects/Keywords: Recommender systems; Collaborative filtering; Personality; Informática

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

APA (6th Edition):

Fernández-Tobías, I. (2018). On the exploitation of user personality in recommender systems. (Thesis). Mouzhi Ge; Francesco Ricci. Retrieved from http://hdl.handle.net/10486/665401

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):

Fernández-Tobías, Ignacio. “On the exploitation of user personality in recommender systems.” 2018. Thesis, Mouzhi Ge; Francesco Ricci. Accessed June 26, 2019. http://hdl.handle.net/10486/665401.

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

MLA Handbook (7th Edition):

Fernández-Tobías, Ignacio. “On the exploitation of user personality in recommender systems.” 2018. Web. 26 Jun 2019.

Vancouver:

Fernández-Tobías I. On the exploitation of user personality in recommender systems. [Internet] [Thesis]. Mouzhi Ge; Francesco Ricci; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10486/665401.

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

Council of Science Editors:

Fernández-Tobías I. On the exploitation of user personality in recommender systems. [Thesis]. Mouzhi Ge; Francesco Ricci; 2018. Available from: http://hdl.handle.net/10486/665401

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


Virginia Tech

28. Mirza, Batul J. Jumping Connections: A Graph-Theoretic Model for Recommender Systems.

Degree: MS, Computer Science, 2001, Virginia Tech

Recommender systems have become paramount to customize information access and reduce information overload. They serve multiple uses, ranging from suggesting products and artifacts (to consumers),… (more)

Subjects/Keywords: Random Graphs; Collaborative Filtering; Recommender Systems

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

APA (6th Edition):

Mirza, B. J. (2001). Jumping Connections: A Graph-Theoretic Model for Recommender Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31370

Chicago Manual of Style (16th Edition):

Mirza, Batul J. “Jumping Connections: A Graph-Theoretic Model for Recommender Systems.” 2001. Masters Thesis, Virginia Tech. Accessed June 26, 2019. http://hdl.handle.net/10919/31370.

MLA Handbook (7th Edition):

Mirza, Batul J. “Jumping Connections: A Graph-Theoretic Model for Recommender Systems.” 2001. Web. 26 Jun 2019.

Vancouver:

Mirza BJ. Jumping Connections: A Graph-Theoretic Model for Recommender Systems. [Internet] [Masters thesis]. Virginia Tech; 2001. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10919/31370.

Council of Science Editors:

Mirza BJ. Jumping Connections: A Graph-Theoretic Model for Recommender Systems. [Masters Thesis]. Virginia Tech; 2001. Available from: http://hdl.handle.net/10919/31370


Delft University of Technology

29. Loni, B. Advanced Factorization Models for Recommender Systems.

Degree: 2018, Delft University of Technology

Recommender Systems have become a crucial tool to serve personalized content and to promote online products and media, but also to recommend restaurants, events, news… (more)

Subjects/Keywords: Factorization Models; Collaborative Filtering; Recommender Systems

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

APA (6th Edition):

Loni, B. (2018). Advanced Factorization Models for Recommender Systems. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81

Chicago Manual of Style (16th Edition):

Loni, B. “Advanced Factorization Models for Recommender Systems.” 2018. Doctoral Dissertation, Delft University of Technology. Accessed June 26, 2019. http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81.

MLA Handbook (7th Edition):

Loni, B. “Advanced Factorization Models for Recommender Systems.” 2018. Web. 26 Jun 2019.

Vancouver:

Loni B. Advanced Factorization Models for Recommender Systems. [Internet] [Doctoral dissertation]. Delft University of Technology; 2018. [cited 2019 Jun 26]. Available from: http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81.

Council of Science Editors:

Loni B. Advanced Factorization Models for Recommender Systems. [Doctoral Dissertation]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81

30. Polatidis, Nikolaos. Recommendations in mobile commerce environments: supporting quality and privacy requirements.

Degree: 2017, Πανεπιστήμιο Μακεδονίας

Recommender systems have become a technology that has been widely used by various online applications in situations where there is an information overload problem. Numerous… (more)

Subjects/Keywords: Κινητά συστήματα συστάσεων; Περιβάλλουσα κατάσταση; Συνεργατικό φιλτράρισμα; Ιδιωτικότητα; Mobile recommender systems; Context; Collaborative filtering; Privacy

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Polatidis, N. (2017). Recommendations in mobile commerce environments: supporting quality and privacy requirements. (Thesis). Πανεπιστήμιο Μακεδονίας. Retrieved from http://hdl.handle.net/10442/hedi/44490

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):

Polatidis, Nikolaos. “Recommendations in mobile commerce environments: supporting quality and privacy requirements.” 2017. Thesis, Πανεπιστήμιο Μακεδονίας. Accessed June 26, 2019. http://hdl.handle.net/10442/hedi/44490.

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

MLA Handbook (7th Edition):

Polatidis, Nikolaos. “Recommendations in mobile commerce environments: supporting quality and privacy requirements.” 2017. Web. 26 Jun 2019.

Vancouver:

Polatidis N. Recommendations in mobile commerce environments: supporting quality and privacy requirements. [Internet] [Thesis]. Πανεπιστήμιο Μακεδονίας; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10442/hedi/44490.

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

Council of Science Editors:

Polatidis N. Recommendations in mobile commerce environments: supporting quality and privacy requirements. [Thesis]. Πανεπιστήμιο Μακεδονίας; 2017. Available from: http://hdl.handle.net/10442/hedi/44490

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

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