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You searched for subject:(Recommendation system). Showing records 1 – 30 of 125 total matches.

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University of Victoria

1. Qiu, Feng. A recommendation system for web API services.

Degree: Department of Computer Science, 2019, University of Victoria

 Web-based Application Programming Interface (API) has become an important tool for modern software development. Many enterprises have developed various types of web APIs to support… (more)

Subjects/Keywords: Web Service; Recommendation System; Implicit Recommendation

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

APA (6th Edition):

Qiu, F. (2019). A recommendation system for web API services. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/10510

Chicago Manual of Style (16th Edition):

Qiu, Feng. “A recommendation system for web API services.” 2019. Masters Thesis, University of Victoria. Accessed July 21, 2019. https://dspace.library.uvic.ca//handle/1828/10510.

MLA Handbook (7th Edition):

Qiu, Feng. “A recommendation system for web API services.” 2019. Web. 21 Jul 2019.

Vancouver:

Qiu F. A recommendation system for web API services. [Internet] [Masters thesis]. University of Victoria; 2019. [cited 2019 Jul 21]. Available from: https://dspace.library.uvic.ca//handle/1828/10510.

Council of Science Editors:

Qiu F. A recommendation system for web API services. [Masters Thesis]. University of Victoria; 2019. Available from: https://dspace.library.uvic.ca//handle/1828/10510


University of Minnesota

2. Nguyen, Tien. Enhancing User Experience With Recommender Systems Beyond Prediction Accuracies.

Degree: PhD, Computer Science, 2016, University of Minnesota

 In this dissertation, we examine to improve the user experience with recommender systems beyond prediction accuracy. We focus on the following aspects of the user… (more)

Subjects/Keywords: prediction accuracy; recommendation diversity; recommendation popularity; recommendation serendipity; recommender system; user experience

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

APA (6th Edition):

Nguyen, T. (2016). Enhancing User Experience With Recommender Systems Beyond Prediction Accuracies. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182780

Chicago Manual of Style (16th Edition):

Nguyen, Tien. “Enhancing User Experience With Recommender Systems Beyond Prediction Accuracies.” 2016. Doctoral Dissertation, University of Minnesota. Accessed July 21, 2019. http://hdl.handle.net/11299/182780.

MLA Handbook (7th Edition):

Nguyen, Tien. “Enhancing User Experience With Recommender Systems Beyond Prediction Accuracies.” 2016. Web. 21 Jul 2019.

Vancouver:

Nguyen T. Enhancing User Experience With Recommender Systems Beyond Prediction Accuracies. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/11299/182780.

Council of Science Editors:

Nguyen T. Enhancing User Experience With Recommender Systems Beyond Prediction Accuracies. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182780


NSYSU

3. Kuo-Li, Che. Personalized Tag-based Collaborative Filtering & Context-Aware Recommendation for Multimedia.

Degree: Master, Information Management, 2009, NSYSU

 Because electronic commerce has been flourishing in recent year, the amount and the variety of information on the web have also been rapidly increasing. However,… (more)

Subjects/Keywords: multimedia; recommendation system; Folksonomy; context-awareness

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

APA (6th Edition):

Kuo-Li, C. (2009). Personalized Tag-based Collaborative Filtering & Context-Aware Recommendation for Multimedia. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816109-212902

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):

Kuo-Li, Che. “Personalized Tag-based Collaborative Filtering & Context-Aware Recommendation for Multimedia.” 2009. Thesis, NSYSU. Accessed July 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816109-212902.

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

MLA Handbook (7th Edition):

Kuo-Li, Che. “Personalized Tag-based Collaborative Filtering & Context-Aware Recommendation for Multimedia.” 2009. Web. 21 Jul 2019.

Vancouver:

Kuo-Li C. Personalized Tag-based Collaborative Filtering & Context-Aware Recommendation for Multimedia. [Internet] [Thesis]. NSYSU; 2009. [cited 2019 Jul 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816109-212902.

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

Council of Science Editors:

Kuo-Li C. Personalized Tag-based Collaborative Filtering & Context-Aware Recommendation for Multimedia. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816109-212902

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


University of Illinois – Urbana-Champaign

4. Subrahmanyam, Shilpa. Retain: building a concept recommendation system that leverages spaced repetition to improve retention in educational settings.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 There is a glaring lack of focus on long-term retention in today's educational paradigms. Moreover, research in the area of learning, memory, and specifically, promoting… (more)

Subjects/Keywords: Spaced repetition; Education; Concept recommendation system

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

APA (6th Edition):

Subrahmanyam, S. (2017). Retain: building a concept recommendation system that leverages spaced repetition to improve retention in educational settings. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97490

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):

Subrahmanyam, Shilpa. “Retain: building a concept recommendation system that leverages spaced repetition to improve retention in educational settings.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed July 21, 2019. http://hdl.handle.net/2142/97490.

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

MLA Handbook (7th Edition):

Subrahmanyam, Shilpa. “Retain: building a concept recommendation system that leverages spaced repetition to improve retention in educational settings.” 2017. Web. 21 Jul 2019.

Vancouver:

Subrahmanyam S. Retain: building a concept recommendation system that leverages spaced repetition to improve retention in educational settings. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/2142/97490.

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

Council of Science Editors:

Subrahmanyam S. Retain: building a concept recommendation system that leverages spaced repetition to improve retention in educational settings. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97490

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


University of Missouri – Columbia

5. Reid, David H. Using collaborative filtering based recommendations to promote the social nature of online learning.

Degree: 2012, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Despite the supporting literature on the social nature of learning (Vygotsky, 1978; Bandura, 1977; Wenger,… (more)

Subjects/Keywords: online learning; social interactions; activity recommendation system

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

APA (6th Edition):

Reid, D. H. (2012). Using collaborative filtering based recommendations to promote the social nature of online learning. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/33236

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):

Reid, David H. “Using collaborative filtering based recommendations to promote the social nature of online learning.” 2012. Thesis, University of Missouri – Columbia. Accessed July 21, 2019. http://hdl.handle.net/10355/33236.

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

MLA Handbook (7th Edition):

Reid, David H. “Using collaborative filtering based recommendations to promote the social nature of online learning.” 2012. Web. 21 Jul 2019.

Vancouver:

Reid DH. Using collaborative filtering based recommendations to promote the social nature of online learning. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/10355/33236.

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

Council of Science Editors:

Reid DH. Using collaborative filtering based recommendations to promote the social nature of online learning. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/33236

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


University of Missouri – Columbia

6. Reid, David H. Using collaborative filtering based recommendations to promote the social nature of online learning.

Degree: 2012, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Despite the supporting literature on the social nature of learning (Vygotsky, 1978; Bandura, 1977; Wenger,… (more)

Subjects/Keywords: online learning; social interactions; activity recommendation system

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

APA (6th Edition):

Reid, D. H. (2012). Using collaborative filtering based recommendations to promote the social nature of online learning. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/33236

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):

Reid, David H. “Using collaborative filtering based recommendations to promote the social nature of online learning.” 2012. Thesis, University of Missouri – Columbia. Accessed July 21, 2019. https://doi.org/10.32469/10355/33236.

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

MLA Handbook (7th Edition):

Reid, David H. “Using collaborative filtering based recommendations to promote the social nature of online learning.” 2012. Web. 21 Jul 2019.

Vancouver:

Reid DH. Using collaborative filtering based recommendations to promote the social nature of online learning. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Jul 21]. Available from: https://doi.org/10.32469/10355/33236.

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

Council of Science Editors:

Reid DH. Using collaborative filtering based recommendations to promote the social nature of online learning. [Thesis]. University of Missouri – Columbia; 2012. Available from: https://doi.org/10.32469/10355/33236

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


NSYSU

7. Hsiao, Li-Wei. Development of A Recommendation System for Personal Health Examination Items for Cancers.

Degree: Master, Information Management, 2014, NSYSU

 Medical technology is well developed nowadays. Cancers have been the first cause of death for people. In preventive medicine, people must take regular health examinations… (more)

Subjects/Keywords: system development; knowledge engineering; health examination items recommendation; recommendation system; health examination

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

APA (6th Edition):

Hsiao, L. (2014). Development of A Recommendation System for Personal Health Examination Items for Cancers. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711114-072016

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):

Hsiao, Li-Wei. “Development of A Recommendation System for Personal Health Examination Items for Cancers.” 2014. Thesis, NSYSU. Accessed July 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711114-072016.

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

MLA Handbook (7th Edition):

Hsiao, Li-Wei. “Development of A Recommendation System for Personal Health Examination Items for Cancers.” 2014. Web. 21 Jul 2019.

Vancouver:

Hsiao L. Development of A Recommendation System for Personal Health Examination Items for Cancers. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Jul 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711114-072016.

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

Council of Science Editors:

Hsiao L. Development of A Recommendation System for Personal Health Examination Items for Cancers. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711114-072016

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


Australian National University

8. Sedhain, Suvash. A Unified Approach to Collaborative Filtering via Linear Models and Beyond .

Degree: 2016, Australian National University

 Recommending a personalised list of items to users is a core task for many online services such as Amazon, Netflix, and Youtube. Recommender systems are… (more)

Subjects/Keywords: Recommender System; One-Class Collaborative Filtering; Cold-Start Recommendation; Social Recommendation; Rating Prediction; Deep Learning

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

APA (6th Edition):

Sedhain, S. (2016). A Unified Approach to Collaborative Filtering via Linear Models and Beyond . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/118270

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):

Sedhain, Suvash. “A Unified Approach to Collaborative Filtering via Linear Models and Beyond .” 2016. Thesis, Australian National University. Accessed July 21, 2019. http://hdl.handle.net/1885/118270.

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

MLA Handbook (7th Edition):

Sedhain, Suvash. “A Unified Approach to Collaborative Filtering via Linear Models and Beyond .” 2016. Web. 21 Jul 2019.

Vancouver:

Sedhain S. A Unified Approach to Collaborative Filtering via Linear Models and Beyond . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/1885/118270.

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

Council of Science Editors:

Sedhain S. A Unified Approach to Collaborative Filtering via Linear Models and Beyond . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/118270

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


NSYSU

9. Chien, Zhi-hua. Using Contextual Multi-Armed Bandit Algorithms for Recommending Investment in Stock Market.

Degree: Master, Information Management, 2016, NSYSU

 The Contextual Bandit Problem (CMAB) is usually used to recommend for online applications on article, music, movie, etc. One leading algorithm for contextual bandit is… (more)

Subjects/Keywords: LinUCB; Contextual Bandit Problem; Stock Recommendation; Contextual Multi-Armed Bandit; Personalized Recommendation System

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

APA (6th Edition):

Chien, Z. (2016). Using Contextual Multi-Armed Bandit Algorithms for Recommending Investment in Stock Market. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0703116-130605

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):

Chien, Zhi-hua. “Using Contextual Multi-Armed Bandit Algorithms for Recommending Investment in Stock Market.” 2016. Thesis, NSYSU. Accessed July 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0703116-130605.

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

MLA Handbook (7th Edition):

Chien, Zhi-hua. “Using Contextual Multi-Armed Bandit Algorithms for Recommending Investment in Stock Market.” 2016. Web. 21 Jul 2019.

Vancouver:

Chien Z. Using Contextual Multi-Armed Bandit Algorithms for Recommending Investment in Stock Market. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Jul 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0703116-130605.

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

Council of Science Editors:

Chien Z. Using Contextual Multi-Armed Bandit Algorithms for Recommending Investment in Stock Market. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0703116-130605

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


KTH

10. Xu, Xuechun. Sequential recommendation for food recipes with Variable Order Markov Chain.

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

One of the key tasks in the study of the recommendation system is to model the dynamics aspect of a person's preference, i.e. to… (more)

Subjects/Keywords: recommendation system; food recipe; Markov Chain; sequential recommendation; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Xu, X. (2018). Sequential recommendation for food recipes with Variable Order Markov Chain. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223567

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):

Xu, Xuechun. “Sequential recommendation for food recipes with Variable Order Markov Chain.” 2018. Thesis, KTH. Accessed July 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223567.

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

MLA Handbook (7th Edition):

Xu, Xuechun. “Sequential recommendation for food recipes with Variable Order Markov Chain.” 2018. Web. 21 Jul 2019.

Vancouver:

Xu X. Sequential recommendation for food recipes with Variable Order Markov Chain. [Internet] [Thesis]. KTH; 2018. [cited 2019 Jul 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223567.

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

Council of Science Editors:

Xu X. Sequential recommendation for food recipes with Variable Order Markov Chain. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223567

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


Rochester Institute of Technology

11. Zhang, Zheng. Sense - Recommendation System based on Affective Interpretations of Social Media Posts: A Proposed User Interface Design.

Degree: MFA, School of Design (CAD), 2018, Rochester Institute of Technology

  It is now easier and cheaper for people to get involved in technology, and most people are obtaining or receiving tons of information nowadays,… (more)

Subjects/Keywords: Affective interpretation; Affective system; Conversational user interface; Emerging technology; Recommendation system

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

APA (6th Edition):

Zhang, Z. (2018). Sense - Recommendation System based on Affective Interpretations of Social Media Posts: A Proposed User Interface Design. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9931

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):

Zhang, Zheng. “Sense - Recommendation System based on Affective Interpretations of Social Media Posts: A Proposed User Interface Design.” 2018. Thesis, Rochester Institute of Technology. Accessed July 21, 2019. https://scholarworks.rit.edu/theses/9931.

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

MLA Handbook (7th Edition):

Zhang, Zheng. “Sense - Recommendation System based on Affective Interpretations of Social Media Posts: A Proposed User Interface Design.” 2018. Web. 21 Jul 2019.

Vancouver:

Zhang Z. Sense - Recommendation System based on Affective Interpretations of Social Media Posts: A Proposed User Interface Design. [Internet] [Thesis]. Rochester Institute of Technology; 2018. [cited 2019 Jul 21]. Available from: https://scholarworks.rit.edu/theses/9931.

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

Council of Science Editors:

Zhang Z. Sense - Recommendation System based on Affective Interpretations of Social Media Posts: A Proposed User Interface Design. [Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9931

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

12. Zhou, Yubo. What's Missing in your Shopping Cart? A Set Based Recommendation Method for "Cold-Start" Prediction.

Degree: MASc - Master of Applied Science, Computer Engineering, 2018, York University

 This thesis studies the problem of predicting the missing items in the current user's session when there is no additional side information available. Many recommender… (more)

Subjects/Keywords: Computer science; Recommendation system; Deep learning; Cold start; Real-time system

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

APA (6th Edition):

Zhou, Y. (2018). What's Missing in your Shopping Cart? A Set Based Recommendation Method for "Cold-Start" Prediction. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/34330

Chicago Manual of Style (16th Edition):

Zhou, Yubo. “What's Missing in your Shopping Cart? A Set Based Recommendation Method for "Cold-Start" Prediction.” 2018. Masters Thesis, York University. Accessed July 21, 2019. http://hdl.handle.net/10315/34330.

MLA Handbook (7th Edition):

Zhou, Yubo. “What's Missing in your Shopping Cart? A Set Based Recommendation Method for "Cold-Start" Prediction.” 2018. Web. 21 Jul 2019.

Vancouver:

Zhou Y. What's Missing in your Shopping Cart? A Set Based Recommendation Method for "Cold-Start" Prediction. [Internet] [Masters thesis]. York University; 2018. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/10315/34330.

Council of Science Editors:

Zhou Y. What's Missing in your Shopping Cart? A Set Based Recommendation Method for "Cold-Start" Prediction. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/34330

13. Canhoto, Vicente. Recomendação de música: comparação entre collaborative filtering e context filtering.

Degree: 2013, RCAAP

Mestrado em Gestão de Sistemas de Informação

A massificação de serviços de música online democratizou o acesso a milhões de músicas. No entanto, é impossível… (more)

Subjects/Keywords: Sistema de recomendação; Recomendação de música; Collaborative filtering; Recomendação baseada no contexto; Context pre-filtering; Comparação de sistemas de recomendação; Recommendation system; Music recommendation; Context-based recommendation,; Recommendation systems comparison

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

APA (6th Edition):

Canhoto, V. (2013). Recomendação de música: comparação entre collaborative filtering e context filtering. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062

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):

Canhoto, Vicente. “Recomendação de música: comparação entre collaborative filtering e context filtering.” 2013. Thesis, RCAAP. Accessed July 21, 2019. https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062.

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

MLA Handbook (7th Edition):

Canhoto, Vicente. “Recomendação de música: comparação entre collaborative filtering e context filtering.” 2013. Web. 21 Jul 2019.

Vancouver:

Canhoto V. Recomendação de música: comparação entre collaborative filtering e context filtering. [Internet] [Thesis]. RCAAP; 2013. [cited 2019 Jul 21]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062.

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

Council of Science Editors:

Canhoto V. Recomendação de música: comparação entre collaborative filtering e context filtering. [Thesis]. RCAAP; 2013. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8062

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


Texas A&M University

14. George, Thomas. A Recommendation System for Preconditioned Iterative Solvers.

Degree: 2011, Texas A&M University

 Solving linear systems of equations is an integral part of most scientific simulations. In recent years, there has been a considerable interest in large scale… (more)

Subjects/Keywords: Recommendation; iterative solvers; machine learning; preconditioners; system; empirical study; experimental; packages

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

APA (6th Edition):

George, T. (2011). A Recommendation System for Preconditioned Iterative Solvers. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7458

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):

George, Thomas. “A Recommendation System for Preconditioned Iterative Solvers.” 2011. Thesis, Texas A&M University. Accessed July 21, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7458.

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

MLA Handbook (7th Edition):

George, Thomas. “A Recommendation System for Preconditioned Iterative Solvers.” 2011. Web. 21 Jul 2019.

Vancouver:

George T. A Recommendation System for Preconditioned Iterative Solvers. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7458.

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

Council of Science Editors:

George T. A Recommendation System for Preconditioned Iterative Solvers. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7458

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

15. Li, Siyuan. Your friends like it. Do you?: examining social recommendation system's effects on consumer preference similarity.

Degree: PhD, Business Administration, 2013, University of Georgia

 This dissertation examines the effects of online social recommendation systems (RS) on consumer preference similarity under different social network structural properties. There is a debate… (more)

Subjects/Keywords: social recommendation system

…Theoretical Underpinnings of the Effects of Social Recommendation System… …77 viii LIST OF FIGURES Page Figure 1.1: Example of Social Recommendation System… …2 Figure 2.1: Content-based Recommendation System… …9 Figure 2.2: Collaborative Recommendation System… …11 Figure 2.3: Social Recommendation System… 

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

APA (6th Edition):

Li, S. (2013). Your friends like it. Do you?: examining social recommendation system's effects on consumer preference similarity. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/li_siyuan_201305_phd

Chicago Manual of Style (16th Edition):

Li, Siyuan. “Your friends like it. Do you?: examining social recommendation system's effects on consumer preference similarity.” 2013. Doctoral Dissertation, University of Georgia. Accessed July 21, 2019. http://purl.galileo.usg.edu/uga_etd/li_siyuan_201305_phd.

MLA Handbook (7th Edition):

Li, Siyuan. “Your friends like it. Do you?: examining social recommendation system's effects on consumer preference similarity.” 2013. Web. 21 Jul 2019.

Vancouver:

Li S. Your friends like it. Do you?: examining social recommendation system's effects on consumer preference similarity. [Internet] [Doctoral dissertation]. University of Georgia; 2013. [cited 2019 Jul 21]. Available from: http://purl.galileo.usg.edu/uga_etd/li_siyuan_201305_phd.

Council of Science Editors:

Li S. Your friends like it. Do you?: examining social recommendation system's effects on consumer preference similarity. [Doctoral Dissertation]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/li_siyuan_201305_phd


NSYSU

16. Tsai, Meng-chang. A User-Interests Approach to Music Recommendation Systems.

Degree: Master, Computer Science and Engineering, 2010, NSYSU

 In recent years, music has become increasingly universal due to technological advances. All kinds of music have become more complex and a large amount around… (more)

Subjects/Keywords: Weight; Music Recommendation System; User Interest; Transaction; Count

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

APA (6th Edition):

Tsai, M. (2010). A User-Interests Approach to Music Recommendation Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220

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):

Tsai, Meng-chang. “A User-Interests Approach to Music Recommendation Systems.” 2010. Thesis, NSYSU. Accessed July 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220.

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

MLA Handbook (7th Edition):

Tsai, Meng-chang. “A User-Interests Approach to Music Recommendation Systems.” 2010. Web. 21 Jul 2019.

Vancouver:

Tsai M. A User-Interests Approach to Music Recommendation Systems. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Jul 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220.

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

Council of Science Editors:

Tsai M. A User-Interests Approach to Music Recommendation Systems. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618110-165220

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


NSYSU

17. Liang, Jhen-yi. Combining Content-base and Collaborative Filtering Methods for Music Recommendation.

Degree: Master, Information Management, 2014, NSYSU

 With the music signal processing and network development, people can listen to music not only CDs, radio but also mobile devices, even more, online streaming.… (more)

Subjects/Keywords: Music Information Retrieval; Matrix Decomposition; Recommendation System; Collaborative Filtering; Music Tags

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

APA (6th Edition):

Liang, J. (2014). Combining Content-base and Collaborative Filtering Methods for Music Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859

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):

Liang, Jhen-yi. “Combining Content-base and Collaborative Filtering Methods for Music Recommendation.” 2014. Thesis, NSYSU. Accessed July 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859.

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

MLA Handbook (7th Edition):

Liang, Jhen-yi. “Combining Content-base and Collaborative Filtering Methods for Music Recommendation.” 2014. Web. 21 Jul 2019.

Vancouver:

Liang J. Combining Content-base and Collaborative Filtering Methods for Music Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Jul 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859.

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

Council of Science Editors:

Liang J. Combining Content-base and Collaborative Filtering Methods for Music Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859

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


NSYSU

18. Yang, Tsung-Lin. Combining Trust Relationships and Super Users for Collaborative Recommendation.

Degree: Master, Information Management, 2017, NSYSU

 The network and mobile communication develop very quickly in recent years. We could get the data easily online. However, the speed of data transformation is… (more)

Subjects/Keywords: Collaborative Filtering; Recommendation System; Cold Start; Matrix Factorization; Trust

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

APA (6th Edition):

Yang, T. (2017). Combining Trust Relationships and Super Users for Collaborative Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

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):

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Thesis, NSYSU. Accessed July 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

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

MLA Handbook (7th Edition):

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Web. 21 Jul 2019.

Vancouver:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Jul 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

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

Council of Science Editors:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

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


University of Alberta

19. Zhang, Jing. On the Application of Multi-Class Classification in Physical Therapy Recommendation.

Degree: MS, Department of Computing Science, 2012, University of Alberta

 Selecting appropriate rehabilitation treatments for injured workers has been a challenging task for clinicians and health care funders. Currently, clinicians are unable to identify the… (more)

Subjects/Keywords: Class Imbalance; Recommendation System; Physical Therapy; Multi-Class Classification

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

APA (6th Edition):

Zhang, J. (2012). On the Application of Multi-Class Classification in Physical Therapy Recommendation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/m039k5870

Chicago Manual of Style (16th Edition):

Zhang, Jing. “On the Application of Multi-Class Classification in Physical Therapy Recommendation.” 2012. Masters Thesis, University of Alberta. Accessed July 21, 2019. https://era.library.ualberta.ca/files/m039k5870.

MLA Handbook (7th Edition):

Zhang, Jing. “On the Application of Multi-Class Classification in Physical Therapy Recommendation.” 2012. Web. 21 Jul 2019.

Vancouver:

Zhang J. On the Application of Multi-Class Classification in Physical Therapy Recommendation. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2019 Jul 21]. Available from: https://era.library.ualberta.ca/files/m039k5870.

Council of Science Editors:

Zhang J. On the Application of Multi-Class Classification in Physical Therapy Recommendation. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/m039k5870


California State University – San Bernardino

20. Dhumal, Sayali. WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM.

Degree: MSin Computer Science, School of Computer Science and Engineering, 2017, California State University – San Bernardino

  The main aim of the course advising system is to build a course recommendation path for students to help them plan courses to successfully… (more)

Subjects/Keywords: Course Recommendation System; Course Advising Path; Software Engineering; Theory and Algorithms

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

APA (6th Edition):

Dhumal, S. (2017). WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM. (Thesis). California State University – San Bernardino. Retrieved from http://scholarworks.lib.csusb.edu/etd/605

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):

Dhumal, Sayali. “WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM.” 2017. Thesis, California State University – San Bernardino. Accessed July 21, 2019. http://scholarworks.lib.csusb.edu/etd/605.

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

MLA Handbook (7th Edition):

Dhumal, Sayali. “WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM.” 2017. Web. 21 Jul 2019.

Vancouver:

Dhumal S. WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM. [Internet] [Thesis]. California State University – San Bernardino; 2017. [cited 2019 Jul 21]. Available from: http://scholarworks.lib.csusb.edu/etd/605.

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

Council of Science Editors:

Dhumal S. WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM. [Thesis]. California State University – San Bernardino; 2017. Available from: http://scholarworks.lib.csusb.edu/etd/605

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


Penn State University

21. Zhuang, Ziming. MINING FEEDBACK IN RANKING AND RECOMMENDATION SYSTEMS.

Degree: PhD, Information Sciences and Technology, 2009, Penn State University

 The amount of online information has grown exponentially over the past few decades, and users become more and more dependent on ranking and recommendation systems… (more)

Subjects/Keywords: recommendation system; data mining; search; ranking; information retrieval

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

APA (6th Edition):

Zhuang, Z. (2009). MINING FEEDBACK IN RANKING AND RECOMMENDATION SYSTEMS. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8965

Chicago Manual of Style (16th Edition):

Zhuang, Ziming. “MINING FEEDBACK IN RANKING AND RECOMMENDATION SYSTEMS.” 2009. Doctoral Dissertation, Penn State University. Accessed July 21, 2019. https://etda.libraries.psu.edu/catalog/8965.

MLA Handbook (7th Edition):

Zhuang, Ziming. “MINING FEEDBACK IN RANKING AND RECOMMENDATION SYSTEMS.” 2009. Web. 21 Jul 2019.

Vancouver:

Zhuang Z. MINING FEEDBACK IN RANKING AND RECOMMENDATION SYSTEMS. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Jul 21]. Available from: https://etda.libraries.psu.edu/catalog/8965.

Council of Science Editors:

Zhuang Z. MINING FEEDBACK IN RANKING AND RECOMMENDATION SYSTEMS. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/8965


UCLA

22. Yu, Xiaolu. Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation.

Degree: Statistics, 2017, UCLA

 In recent years, Social Network Service (SNS) is a novel, popular way to make friends andconvey information online. Therefore, the analysis of network data has… (more)

Subjects/Keywords: Statistics; community detection; computer science; recommendation system; Social network; statistical model

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

APA (6th Edition):

Yu, X. (2017). Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/43w1f0mf

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

Chicago Manual of Style (16th Edition):

Yu, Xiaolu. “Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation.” 2017. Thesis, UCLA. Accessed July 21, 2019. http://www.escholarship.org/uc/item/43w1f0mf.

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

MLA Handbook (7th Edition):

Yu, Xiaolu. “Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation.” 2017. Web. 21 Jul 2019.

Vancouver:

Yu X. Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation. [Internet] [Thesis]. UCLA; 2017. [cited 2019 Jul 21]. Available from: http://www.escholarship.org/uc/item/43w1f0mf.

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

Council of Science Editors:

Yu X. Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/43w1f0mf

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


UCLA

23. Hu, Chufeng. Application of Neural Network Based Recommendation System.

Degree: Statistics, 2017, UCLA

 In the recommendation system, data comes in the form of a vector or matrix. Matrix factorization techniques attempt to recover missing or corrupted entries by… (more)

Subjects/Keywords: Statistics; collaborative filtering; matrix factorization; neural network; recommendation system

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

APA (6th Edition):

Hu, C. (2017). Application of Neural Network Based Recommendation System. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4dc4v66k

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):

Hu, Chufeng. “Application of Neural Network Based Recommendation System.” 2017. Thesis, UCLA. Accessed July 21, 2019. http://www.escholarship.org/uc/item/4dc4v66k.

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

MLA Handbook (7th Edition):

Hu, Chufeng. “Application of Neural Network Based Recommendation System.” 2017. Web. 21 Jul 2019.

Vancouver:

Hu C. Application of Neural Network Based Recommendation System. [Internet] [Thesis]. UCLA; 2017. [cited 2019 Jul 21]. Available from: http://www.escholarship.org/uc/item/4dc4v66k.

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

Council of Science Editors:

Hu C. Application of Neural Network Based Recommendation System. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/4dc4v66k

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


University of Saskatchewan

24. Alotaibi, Shaikhah N. IMPROVING COLLABORATIVE FILTERING RECOMMENDER BY USING MULTI-CRITERIA RATING AND IMPLICIT SOCIAL NETWORKS TO RECOMMEND RESEARCH PAPERS.

Degree: 2016, University of Saskatchewan

 Research paper recommender systems (RSs) aim to alleviate the information overload of researchers by suggesting relevant and useful papers. The collaborative filtering in the area… (more)

Subjects/Keywords: recommender system; collaborative filtering; social recommendation; user coverage; diversity

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

APA (6th Edition):

Alotaibi, S. N. (2016). IMPROVING COLLABORATIVE FILTERING RECOMMENDER BY USING MULTI-CRITERIA RATING AND IMPLICIT SOCIAL NETWORKS TO RECOMMEND RESEARCH PAPERS. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7457

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):

Alotaibi, Shaikhah N. “IMPROVING COLLABORATIVE FILTERING RECOMMENDER BY USING MULTI-CRITERIA RATING AND IMPLICIT SOCIAL NETWORKS TO RECOMMEND RESEARCH PAPERS.” 2016. Thesis, University of Saskatchewan. Accessed July 21, 2019. http://hdl.handle.net/10388/7457.

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

MLA Handbook (7th Edition):

Alotaibi, Shaikhah N. “IMPROVING COLLABORATIVE FILTERING RECOMMENDER BY USING MULTI-CRITERIA RATING AND IMPLICIT SOCIAL NETWORKS TO RECOMMEND RESEARCH PAPERS.” 2016. Web. 21 Jul 2019.

Vancouver:

Alotaibi SN. IMPROVING COLLABORATIVE FILTERING RECOMMENDER BY USING MULTI-CRITERIA RATING AND IMPLICIT SOCIAL NETWORKS TO RECOMMEND RESEARCH PAPERS. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/10388/7457.

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

Council of Science Editors:

Alotaibi SN. IMPROVING COLLABORATIVE FILTERING RECOMMENDER BY USING MULTI-CRITERIA RATING AND IMPLICIT SOCIAL NETWORKS TO RECOMMEND RESEARCH PAPERS. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7457

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


KTH

25. Afzal, Usman. Meven : An Enterprise Trust Recommender System.

Degree: Information and Communication Technology (ICT), 2013, KTH

  Growing an online community takes time and effort. Relationships in an online community must be initiated based on trust followed by privacy, and then… (more)

Subjects/Keywords: Recommender System; Trust Network; Social Network; Recommendation; Privacy protocol; Enterprise application

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

APA (6th Edition):

Afzal, U. (2013). Meven : An Enterprise Trust Recommender System. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137737

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):

Afzal, Usman. “Meven : An Enterprise Trust Recommender System.” 2013. Thesis, KTH. Accessed July 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137737.

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

MLA Handbook (7th Edition):

Afzal, Usman. “Meven : An Enterprise Trust Recommender System.” 2013. Web. 21 Jul 2019.

Vancouver:

Afzal U. Meven : An Enterprise Trust Recommender System. [Internet] [Thesis]. KTH; 2013. [cited 2019 Jul 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137737.

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

Council of Science Editors:

Afzal U. Meven : An Enterprise Trust Recommender System. [Thesis]. KTH; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137737

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


NSYSU

26. Chan, Yao-Cheng. The influence of information transparency and presentation format on a review sequence recommendation: an eye-tracking study in the context of programming learning.

Degree: Master, Information Management, 2018, NSYSU

Recommendation system in education context is gaining in importance. While most studies focused on the functionality and effectiveness of the recommendation, we believe the design… (more)

Subjects/Keywords: recommendation system; Programming learning; eye-tracking; information presentation format; information transparency

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

APA (6th Edition):

Chan, Y. (2018). The influence of information transparency and presentation format on a review sequence recommendation: an eye-tracking study in the context of programming learning. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627118-113439

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):

Chan, Yao-Cheng. “The influence of information transparency and presentation format on a review sequence recommendation: an eye-tracking study in the context of programming learning.” 2018. Thesis, NSYSU. Accessed July 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627118-113439.

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

MLA Handbook (7th Edition):

Chan, Yao-Cheng. “The influence of information transparency and presentation format on a review sequence recommendation: an eye-tracking study in the context of programming learning.” 2018. Web. 21 Jul 2019.

Vancouver:

Chan Y. The influence of information transparency and presentation format on a review sequence recommendation: an eye-tracking study in the context of programming learning. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Jul 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627118-113439.

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

Council of Science Editors:

Chan Y. The influence of information transparency and presentation format on a review sequence recommendation: an eye-tracking study in the context of programming learning. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627118-113439

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


University of Ontario Institute of Technology

27. Panwar, Prateek. Recommendations in visual analytics using emotions : a mixed-initiative interaction approach.

Degree: 2018, University of Ontario Institute of Technology

 The thesis demonstrates an idea for helping users in visual analytic tasks by investigating some critical steps required for providing recommendations. The proposed model uses… (more)

Subjects/Keywords: Affective computing; Information visualization; Recommendation system; Eye tracking; GSR

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APA (6th Edition):

Panwar, P. (2018). Recommendations in visual analytics using emotions : a mixed-initiative interaction approach. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/956

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):

Panwar, Prateek. “Recommendations in visual analytics using emotions : a mixed-initiative interaction approach.” 2018. Thesis, University of Ontario Institute of Technology. Accessed July 21, 2019. http://hdl.handle.net/10155/956.

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

MLA Handbook (7th Edition):

Panwar, Prateek. “Recommendations in visual analytics using emotions : a mixed-initiative interaction approach.” 2018. Web. 21 Jul 2019.

Vancouver:

Panwar P. Recommendations in visual analytics using emotions : a mixed-initiative interaction approach. [Internet] [Thesis]. University of Ontario Institute of Technology; 2018. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/10155/956.

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

Council of Science Editors:

Panwar P. Recommendations in visual analytics using emotions : a mixed-initiative interaction approach. [Thesis]. University of Ontario Institute of Technology; 2018. Available from: http://hdl.handle.net/10155/956

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


University of California – Irvine

28. Asgari Mehrabadi, Milad. A Recommendation System for Predicting Privacy Leaks in Mobile Traffic.

Degree: Electrical and Computer Engineering, 2019, University of California – Irvine

 Today’s smart phones have access to personal stored data, including personally identifiable information (PII) that can be used to uniquely identify users. It is well-known… (more)

Subjects/Keywords: Computer engineering; Machine Learning; Mobile; Privacy; Recommendation System

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

APA (6th Edition):

Asgari Mehrabadi, M. (2019). A Recommendation System for Predicting Privacy Leaks in Mobile Traffic. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/6794983x

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):

Asgari Mehrabadi, Milad. “A Recommendation System for Predicting Privacy Leaks in Mobile Traffic.” 2019. Thesis, University of California – Irvine. Accessed July 21, 2019. http://www.escholarship.org/uc/item/6794983x.

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

MLA Handbook (7th Edition):

Asgari Mehrabadi, Milad. “A Recommendation System for Predicting Privacy Leaks in Mobile Traffic.” 2019. Web. 21 Jul 2019.

Vancouver:

Asgari Mehrabadi M. A Recommendation System for Predicting Privacy Leaks in Mobile Traffic. [Internet] [Thesis]. University of California – Irvine; 2019. [cited 2019 Jul 21]. Available from: http://www.escholarship.org/uc/item/6794983x.

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

Council of Science Editors:

Asgari Mehrabadi M. A Recommendation System for Predicting Privacy Leaks in Mobile Traffic. [Thesis]. University of California – Irvine; 2019. Available from: http://www.escholarship.org/uc/item/6794983x

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

29. Xiong, Chenrui. Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems.

Degree: MA -MA, Information Systems and Technology, 2018, York University

 The Collaborative Filtering recommendation systems have been developed to address the information overload problem and personalize the content to the users for business and organizations.… (more)

Subjects/Keywords: Information technology; Collaborative Filtering Recommendation System; K-means; Similarity

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

APA (6th Edition):

Xiong, C. (2018). Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/34294

Chicago Manual of Style (16th Edition):

Xiong, Chenrui. “Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems.” 2018. Masters Thesis, York University. Accessed July 21, 2019. http://hdl.handle.net/10315/34294.

MLA Handbook (7th Edition):

Xiong, Chenrui. “Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems.” 2018. Web. 21 Jul 2019.

Vancouver:

Xiong C. Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems. [Internet] [Masters thesis]. York University; 2018. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/10315/34294.

Council of Science Editors:

Xiong C. Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/34294


University of Arizona

30. Sun, Runpu. Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making .

Degree: 2011, University of Arizona

 The new social media sites - blogs, micro-blogs, and social networking sites, among others - are gaining considerable momentum to facilitate collaboration and social interactions… (more)

Subjects/Keywords: Burst Detection; Recommendation System; Social media; Social network; Viral Marketing

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

APA (6th Edition):

Sun, R. (2011). Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/145394

Chicago Manual of Style (16th Edition):

Sun, Runpu. “Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making .” 2011. Doctoral Dissertation, University of Arizona. Accessed July 21, 2019. http://hdl.handle.net/10150/145394.

MLA Handbook (7th Edition):

Sun, Runpu. “Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making .” 2011. Web. 21 Jul 2019.

Vancouver:

Sun R. Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/10150/145394.

Council of Science Editors:

Sun R. Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/145394

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