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You searched for subject:(Collaborative filtering). Showing records 61 – 90 of 207 total matches.

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Penn State University

61. Ference, Gregory David. Location Recommendation for Mobile Users in Location-Based Social Networks.

Degree: MS, Computer Science and Engineering, 2013, Penn State University

 Location-based services have become popular in the twenty-first century due to technological advances, such as mobile and online social networking. One of its key features… (more)

Subjects/Keywords: Location Recommendation; Location-Based Social Networks; Collaborative Filtering; K-Nearest Diverse Neighbor; Spatial Diversity

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

APA (6th Edition):

Ference, G. D. (2013). Location Recommendation for Mobile Users in Location-Based Social Networks. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/17382

Chicago Manual of Style (16th Edition):

Ference, Gregory David. “Location Recommendation for Mobile Users in Location-Based Social Networks.” 2013. Masters Thesis, Penn State University. Accessed June 16, 2019. https://etda.libraries.psu.edu/catalog/17382.

MLA Handbook (7th Edition):

Ference, Gregory David. “Location Recommendation for Mobile Users in Location-Based Social Networks.” 2013. Web. 16 Jun 2019.

Vancouver:

Ference GD. Location Recommendation for Mobile Users in Location-Based Social Networks. [Internet] [Masters thesis]. Penn State University; 2013. [cited 2019 Jun 16]. Available from: https://etda.libraries.psu.edu/catalog/17382.

Council of Science Editors:

Ference GD. Location Recommendation for Mobile Users in Location-Based Social Networks. [Masters Thesis]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/17382


University of California – Berkeley

62. Bitton, Ephrat. Geometric Models for Collaborative Search and Filtering.

Degree: Industrial Engineering & Operations Research, 2011, University of California – Berkeley

 This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an… (more)

Subjects/Keywords: Computer science; Information science; Operations research; Collaborative Filtering; Network Flows; Online Discussion; Ranking; Reputation

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

APA (6th Edition):

Bitton, E. (2011). Geometric Models for Collaborative Search and Filtering. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7nd1522b

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):

Bitton, Ephrat. “Geometric Models for Collaborative Search and Filtering.” 2011. Thesis, University of California – Berkeley. Accessed June 16, 2019. http://www.escholarship.org/uc/item/7nd1522b.

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

MLA Handbook (7th Edition):

Bitton, Ephrat. “Geometric Models for Collaborative Search and Filtering.” 2011. Web. 16 Jun 2019.

Vancouver:

Bitton E. Geometric Models for Collaborative Search and Filtering. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Jun 16]. Available from: http://www.escholarship.org/uc/item/7nd1522b.

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

Council of Science Editors:

Bitton E. Geometric Models for Collaborative Search and Filtering. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/7nd1522b

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


University of Western Ontario

63. 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 16, 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. 16 Jun 2019.

Vancouver:

Bachmann DE. Contextual Model-Based Collaborative Filtering for Recommender Systems. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 Jun 16]. 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


Oregon State University

64. Jung, Seikyung. Designing and understanding information retrieval systems using collaborative filtering in an academic library environment.

Degree: PhD, Computer Science, 2007, Oregon State University

 Accessing information on the Web has become ingrained into our daily lives, and we seek information from many different sources, including conference and journal publications,… (more)

Subjects/Keywords: Collaborative Filtering; Electronic information resource searching

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

APA (6th Edition):

Jung, S. (2007). Designing and understanding information retrieval systems using collaborative filtering in an academic library environment. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/5694

Chicago Manual of Style (16th Edition):

Jung, Seikyung. “Designing and understanding information retrieval systems using collaborative filtering in an academic library environment.” 2007. Doctoral Dissertation, Oregon State University. Accessed June 16, 2019. http://hdl.handle.net/1957/5694.

MLA Handbook (7th Edition):

Jung, Seikyung. “Designing and understanding information retrieval systems using collaborative filtering in an academic library environment.” 2007. Web. 16 Jun 2019.

Vancouver:

Jung S. Designing and understanding information retrieval systems using collaborative filtering in an academic library environment. [Internet] [Doctoral dissertation]. Oregon State University; 2007. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1957/5694.

Council of Science Editors:

Jung S. Designing and understanding information retrieval systems using collaborative filtering in an academic library environment. [Doctoral Dissertation]. Oregon State University; 2007. Available from: http://hdl.handle.net/1957/5694


Queensland University of Technology

65. 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 16, 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. 16 Jun 2019.

Vancouver:

Weng L. Information enrichment for quality recommender systems. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Jun 16]. 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

66. Castells, Pablo. Structured collaborative filtering.

Degree: 2018, ACM

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

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

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 16, 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. 16 Jun 2019.

Vancouver:

Castells P. Structured collaborative filtering. [Internet] [Thesis]. ACM; 2018. [cited 2019 Jun 16]. 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

67. 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 16, 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. 16 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 16]. 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

68. Cantador, Iván. Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.

Degree: 2018, Association for Computing Machinery

Subjects/Keywords: Collaborative filtering; Data structures; Efficiency; Informática

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

APA (6th Edition):

Cantador, I. (2018). Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. (Thesis). Association for Computing Machinery. Retrieved from http://hdl.handle.net/10486/675862

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):

Cantador, Iván. “Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.” 2018. Thesis, Association for Computing Machinery. Accessed June 16, 2019. http://hdl.handle.net/10486/675862.

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

MLA Handbook (7th Edition):

Cantador, Iván. “Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.” 2018. Web. 16 Jun 2019.

Vancouver:

Cantador I. Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. [Internet] [Thesis]. Association for Computing Machinery; 2018. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10486/675862.

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

Council of Science Editors:

Cantador I. Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. [Thesis]. Association for Computing Machinery; 2018. Available from: http://hdl.handle.net/10486/675862

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


Virginia Tech

69. 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 16, 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. 16 Jun 2019.

Vancouver:

Mirza BJ. Jumping Connections: A Graph-Theoretic Model for Recommender Systems. [Internet] [Masters thesis]. Virginia Tech; 2001. [cited 2019 Jun 16]. 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


University of Technology, Sydney

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

Degree: 2018, University of Technology, Sydney

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

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Hao, Peng. “Cross-domain recommender system through tag-based models.” 2018. Thesis, University of Technology, Sydney. Accessed June 16, 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. 16 Jun 2019.

Vancouver:

Hao P. Cross-domain recommender system through tag-based models. [Internet] [Thesis]. University of Technology, Sydney; 2018. [cited 2019 Jun 16]. 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


Delft University of Technology

71. 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 (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 16, 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. 16 Jun 2019.

Vancouver:

Loni B. Advanced Factorization Models for Recommender Systems. [Internet] [Doctoral dissertation]. Delft University of Technology; 2018. [cited 2019 Jun 16]. 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

72. 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

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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 16, 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. 16 Jun 2019.

Vancouver:

Polatidis N. Recommendations in mobile commerce environments: supporting quality and privacy requirements. [Internet] [Thesis]. Πανεπιστήμιο Μακεδονίας; 2017. [cited 2019 Jun 16]. 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


University of Adelaide

73. Lu, Zhigang. Privacy preserving neighbourhood-based collaborative filtering recommendation algorithms.

Degree: 2015, University of Adelaide

 Recommender systems, which recommend users the potentially preferred items by aggregating similar interest neighbours’ history data, show an increasing importance in various Internet applications. As… (more)

Subjects/Keywords: privacy preserving; differential privacy; neighbourhood-based collaborative filtering; internet commerce; recommender systems

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

APA (6th Edition):

Lu, Z. (2015). Privacy preserving neighbourhood-based collaborative filtering recommendation algorithms. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/98720

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, Zhigang. “Privacy preserving neighbourhood-based collaborative filtering recommendation algorithms.” 2015. Thesis, University of Adelaide. Accessed June 16, 2019. http://hdl.handle.net/2440/98720.

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

MLA Handbook (7th Edition):

Lu, Zhigang. “Privacy preserving neighbourhood-based collaborative filtering recommendation algorithms.” 2015. Web. 16 Jun 2019.

Vancouver:

Lu Z. Privacy preserving neighbourhood-based collaborative filtering recommendation algorithms. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2440/98720.

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

Council of Science Editors:

Lu Z. Privacy preserving neighbourhood-based collaborative filtering recommendation algorithms. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/98720

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


University of Waterloo

74. Hynes, Michael`. A Taylor polynomial expansion line search for large-scale optimization.

Degree: 2016, University of Waterloo

 In trying to cope with the Big Data deluge, the landscape of distributed computing has changed. Large commodity hardware clusters, typically operating in some form… (more)

Subjects/Keywords: line search; optimization; Apache Spark; logistic regression; multilayer perceptron; collaborative filtering; Big Data

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

APA (6th Edition):

Hynes, M. (2016). A Taylor polynomial expansion line search for large-scale optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10708

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):

Hynes, Michael`. “A Taylor polynomial expansion line search for large-scale optimization.” 2016. Thesis, University of Waterloo. Accessed June 16, 2019. http://hdl.handle.net/10012/10708.

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

MLA Handbook (7th Edition):

Hynes, Michael`. “A Taylor polynomial expansion line search for large-scale optimization.” 2016. Web. 16 Jun 2019.

Vancouver:

Hynes M. A Taylor polynomial expansion line search for large-scale optimization. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10012/10708.

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

Council of Science Editors:

Hynes M. A Taylor polynomial expansion line search for large-scale optimization. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10708

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


Luleå University of Technology

75. Björk, Jonas. Personalized TV and content recommender : collaborative filtering in recommender systems.

Degree: 2008, Luleå University of Technology

The purpose of this thesis work done at Ericsson Research in Kista was to investigate the possibilities of improving the recommendations in a recommender… (more)

Subjects/Keywords: Physics Chemistry Maths; Correlation measures; Similarity measures; Collaborative; filtering; Recommender systems; Fysik; Kemi; Matematik

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

APA (6th Edition):

Björk, J. (2008). Personalized TV and content recommender : collaborative filtering in recommender systems. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45841

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):

Björk, Jonas. “Personalized TV and content recommender : collaborative filtering in recommender systems.” 2008. Thesis, Luleå University of Technology. Accessed June 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45841.

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

MLA Handbook (7th Edition):

Björk, Jonas. “Personalized TV and content recommender : collaborative filtering in recommender systems.” 2008. Web. 16 Jun 2019.

Vancouver:

Björk J. Personalized TV and content recommender : collaborative filtering in recommender systems. [Internet] [Thesis]. Luleå University of Technology; 2008. [cited 2019 Jun 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45841.

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

Council of Science Editors:

Björk J. Personalized TV and content recommender : collaborative filtering in recommender systems. [Thesis]. Luleå University of Technology; 2008. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45841

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


University of Ottawa

76. 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 16, 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. 16 Jun 2019.

Vancouver:

Alharthi H. The Use of Items Personality Profiles in Recommender Systems . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2019 Jun 16]. 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


University of Windsor

77. Xiao, Ying. Recommending Best Products from E-commerce Purchase History and User Click Behavior Data.

Degree: MS, Computer Science, 2018, University of Windsor

 E-commerce collaborative filtering recommendation systems, the main input data of user-item rating matrix is a binary purchase data showing only what items a user has… (more)

Subjects/Keywords: CF; clickstream history; collaborative filtering; data mining; E-commerce recommendation system; weighted frequent item

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APA (6th Edition):

Xiao, Y. (2018). Recommending Best Products from E-commerce Purchase History and User Click Behavior Data. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7455

Chicago Manual of Style (16th Edition):

Xiao, Ying. “Recommending Best Products from E-commerce Purchase History and User Click Behavior Data.” 2018. Masters Thesis, University of Windsor. Accessed June 16, 2019. https://scholar.uwindsor.ca/etd/7455.

MLA Handbook (7th Edition):

Xiao, Ying. “Recommending Best Products from E-commerce Purchase History and User Click Behavior Data.” 2018. Web. 16 Jun 2019.

Vancouver:

Xiao Y. Recommending Best Products from E-commerce Purchase History and User Click Behavior Data. [Internet] [Masters thesis]. University of Windsor; 2018. [cited 2019 Jun 16]. Available from: https://scholar.uwindsor.ca/etd/7455.

Council of Science Editors:

Xiao Y. Recommending Best Products from E-commerce Purchase History and User Click Behavior Data. [Masters Thesis]. University of Windsor; 2018. Available from: https://scholar.uwindsor.ca/etd/7455


University of Toronto

78. Mnih, Andriy. Learning Distributed Representations for Statistical Language Modelling and Collaborative Filtering.

Degree: 2010, University of Toronto

With the increasing availability of large datasets machine learning techniques are becoming an increasingly attractive alternative to expert-designed approaches to solving complex problems in domains… (more)

Subjects/Keywords: statistical language modelling; collaborative filtering; neural networks; distributed representations; machine learning; 0800

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

APA (6th Edition):

Mnih, A. (2010). Learning Distributed Representations for Statistical Language Modelling and Collaborative Filtering. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/24832

Chicago Manual of Style (16th Edition):

Mnih, Andriy. “Learning Distributed Representations for Statistical Language Modelling and Collaborative Filtering.” 2010. Doctoral Dissertation, University of Toronto. Accessed June 16, 2019. http://hdl.handle.net/1807/24832.

MLA Handbook (7th Edition):

Mnih, Andriy. “Learning Distributed Representations for Statistical Language Modelling and Collaborative Filtering.” 2010. Web. 16 Jun 2019.

Vancouver:

Mnih A. Learning Distributed Representations for Statistical Language Modelling and Collaborative Filtering. [Internet] [Doctoral dissertation]. University of Toronto; 2010. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1807/24832.

Council of Science Editors:

Mnih A. Learning Distributed Representations for Statistical Language Modelling and Collaborative Filtering. [Doctoral Dissertation]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/24832

79. Parimi, Rohit. Collaborative filtering approaches for single-domain and cross-domain recommender systems.

Degree: PhD, Computing and Information Sciences, 2015, Kansas State University

 Increasing amounts of content on the Web means that users can select from a wide variety of items (i.e., items that concur with their tastes… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Implicit feedback; Cross-domain; Adsorption; Matrix factorization; Computer Science (0984)

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APA (6th Edition):

Parimi, R. (2015). Collaborative filtering approaches for single-domain and cross-domain recommender systems. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/20108

Chicago Manual of Style (16th Edition):

Parimi, Rohit. “Collaborative filtering approaches for single-domain and cross-domain recommender systems.” 2015. Doctoral Dissertation, Kansas State University. Accessed June 16, 2019. http://hdl.handle.net/2097/20108.

MLA Handbook (7th Edition):

Parimi, Rohit. “Collaborative filtering approaches for single-domain and cross-domain recommender systems.” 2015. Web. 16 Jun 2019.

Vancouver:

Parimi R. Collaborative filtering approaches for single-domain and cross-domain recommender systems. [Internet] [Doctoral dissertation]. Kansas State University; 2015. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2097/20108.

Council of Science Editors:

Parimi R. Collaborative filtering approaches for single-domain and cross-domain recommender systems. [Doctoral Dissertation]. Kansas State University; 2015. Available from: http://hdl.handle.net/2097/20108


Deakin University

80. Ren, Yongli. Intelligent techniques for recommender systems.

Degree: School of Information Technology, 2013, Deakin University

 This thesis focuses on the data sparsity issue and the temporal dynamic issue in the context of collaborative filtering, and addresses them with imputation techniques,… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Imputation techniques; Low-rank subspace techniques; Optimizations techniques; Rating pattern subspace

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

APA (6th Edition):

Ren, Y. (2013). Intelligent techniques for recommender systems. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30062528

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):

Ren, Yongli. “Intelligent techniques for recommender systems.” 2013. Thesis, Deakin University. Accessed June 16, 2019. http://hdl.handle.net/10536/DRO/DU:30062528.

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

MLA Handbook (7th Edition):

Ren, Yongli. “Intelligent techniques for recommender systems.” 2013. Web. 16 Jun 2019.

Vancouver:

Ren Y. Intelligent techniques for recommender systems. [Internet] [Thesis]. Deakin University; 2013. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10536/DRO/DU:30062528.

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

Council of Science Editors:

Ren Y. Intelligent techniques for recommender systems. [Thesis]. Deakin University; 2013. Available from: http://hdl.handle.net/10536/DRO/DU:30062528

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


University of Minnesota

81. Sharma, Mohit. Preference modeling and Accuracy in Recommender Systems.

Degree: PhD, Computer Science, 2017, University of Minnesota

 Recommender systems are widely used to recommend the most appealing items to users. In this thesis, we focus on analyzing the accuracy of the state-of-the-art… (more)

Subjects/Keywords: Cold-Start item recommendations; Collaborative filtering; Group of items; Matrix completion; Matrix factorization; Recommender systems

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

APA (6th Edition):

Sharma, M. (2017). Preference modeling and Accuracy in Recommender Systems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/192686

Chicago Manual of Style (16th Edition):

Sharma, Mohit. “Preference modeling and Accuracy in Recommender Systems.” 2017. Doctoral Dissertation, University of Minnesota. Accessed June 16, 2019. http://hdl.handle.net/11299/192686.

MLA Handbook (7th Edition):

Sharma, Mohit. “Preference modeling and Accuracy in Recommender Systems.” 2017. Web. 16 Jun 2019.

Vancouver:

Sharma M. Preference modeling and Accuracy in Recommender Systems. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/11299/192686.

Council of Science Editors:

Sharma M. Preference modeling and Accuracy in Recommender Systems. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/192686


North Carolina State University

82. Sreenath, Raghuram Masti. A Community-Based Rating System for Selecting Among Web Services.

Degree: MS, Computer Science, 2003, North Carolina State University

 The current infrastructure for Web services has a static approach to discover a service. It is based on a common repository that has a simple… (more)

Subjects/Keywords: collaborative filtering; web services; rating systems

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APA (6th Edition):

Sreenath, R. M. (2003). A Community-Based Rating System for Selecting Among Web Services. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/2562

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):

Sreenath, Raghuram Masti. “A Community-Based Rating System for Selecting Among Web Services.” 2003. Thesis, North Carolina State University. Accessed June 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/2562.

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

MLA Handbook (7th Edition):

Sreenath, Raghuram Masti. “A Community-Based Rating System for Selecting Among Web Services.” 2003. Web. 16 Jun 2019.

Vancouver:

Sreenath RM. A Community-Based Rating System for Selecting Among Web Services. [Internet] [Thesis]. North Carolina State University; 2003. [cited 2019 Jun 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2562.

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

Council of Science Editors:

Sreenath RM. A Community-Based Rating System for Selecting Among Web Services. [Thesis]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2562

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

83. Dahlberg, Fredrik. Collaborative Filtering för att välja spelnivåer.

Degree: Business and IT, 2013, University of Borås

Fler och fler spel öppnas upp för användargenererat innehåll, vilket ofta resulterar i större mängder material än vad en ensam spelare kan utnyttja. Den… (more)

Subjects/Keywords: Collaborative Filtering; item-based; user-based; spel; Engineering and Technology; Teknik och teknologier

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APA (6th Edition):

Dahlberg, F. (2013). Collaborative Filtering för att välja spelnivåer. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17317

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):

Dahlberg, Fredrik. “Collaborative Filtering för att välja spelnivåer.” 2013. Thesis, University of Borås. Accessed June 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17317.

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

MLA Handbook (7th Edition):

Dahlberg, Fredrik. “Collaborative Filtering för att välja spelnivåer.” 2013. Web. 16 Jun 2019.

Vancouver:

Dahlberg F. Collaborative Filtering för att välja spelnivåer. [Internet] [Thesis]. University of Borås; 2013. [cited 2019 Jun 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17317.

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

Council of Science Editors:

Dahlberg F. Collaborative Filtering för att välja spelnivåer. [Thesis]. University of Borås; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17317

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


University of Saskatchewan

84. Pourheidari, Vahid 1988-. Cross domain recommender systems using matrix and tensor factorization.

Degree: 2019, University of Saskatchewan

 Today, the amount and importance of available data on the internet are growing exponentially. These digital data has become a primary source of information and… (more)

Subjects/Keywords: recommender system; cross-domain recommendation; coupled matrix factorization; tensor decomposition; collaborative filtering; hybrid recommender system

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

APA (6th Edition):

Pourheidari, V. 1. (2019). Cross domain recommender systems using matrix and tensor factorization. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11904

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):

Pourheidari, Vahid 1988-. “Cross domain recommender systems using matrix and tensor factorization.” 2019. Thesis, University of Saskatchewan. Accessed June 16, 2019. http://hdl.handle.net/10388/11904.

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

MLA Handbook (7th Edition):

Pourheidari, Vahid 1988-. “Cross domain recommender systems using matrix and tensor factorization.” 2019. Web. 16 Jun 2019.

Vancouver:

Pourheidari V1. Cross domain recommender systems using matrix and tensor factorization. [Internet] [Thesis]. University of Saskatchewan; 2019. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10388/11904.

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

Council of Science Editors:

Pourheidari V1. Cross domain recommender systems using matrix and tensor factorization. [Thesis]. University of Saskatchewan; 2019. Available from: http://hdl.handle.net/10388/11904

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


San Jose State University

85. Shahab, Shehba. NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS.

Degree: MS, Computer Science, 2019, San Jose State University

  Skills-based hiring is a talent management approach that empowers employers to align recruitment around business results, rather than around credentials and title. It starts… (more)

Subjects/Keywords: Recommender Systems; Collaborative Filtering; Hybrid Approach; Job search; Artificial Intelligence and Robotics; Other Computer Sciences

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APA (6th Edition):

Shahab, S. (2019). NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/684

Chicago Manual of Style (16th Edition):

Shahab, Shehba. “NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS.” 2019. Masters Thesis, San Jose State University. Accessed June 16, 2019. https://scholarworks.sjsu.edu/etd_projects/684.

MLA Handbook (7th Edition):

Shahab, Shehba. “NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS.” 2019. Web. 16 Jun 2019.

Vancouver:

Shahab S. NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Jun 16]. Available from: https://scholarworks.sjsu.edu/etd_projects/684.

Council of Science Editors:

Shahab S. NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS. [Masters Thesis]. San Jose State University; 2019. Available from: https://scholarworks.sjsu.edu/etd_projects/684


Universidade do Minho

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

Degree: 2014, Universidade do Minho

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Telha, Luana Geórgia Lopes. “Smart Targeting de conteúdos para fidelizações e ofertas .” 2014. Masters Thesis, Universidade do Minho. Accessed June 16, 2019. http://hdl.handle.net/1822/33925.

MLA Handbook (7th Edition):

Telha, Luana Geórgia Lopes. “Smart Targeting de conteúdos para fidelizações e ofertas .” 2014. Web. 16 Jun 2019.

Vancouver:

Telha LGL. Smart Targeting de conteúdos para fidelizações e ofertas . [Internet] [Masters thesis]. Universidade do Minho; 2014. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1822/33925.

Council of Science Editors:

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


Texas A&M University

87. Tripathy, Aalap. High Performance Information Filtering on Many-core Processors.

Degree: 2013, Texas A&M University

 The increasing amount of information accessible to a user digitally makes search difficult, time consuming and unsatisfactory. This has led to the development of active… (more)

Subjects/Keywords: GPGPU; SCC; Mapreduce; semantic information filtering; collaborative information filtering; recommendation system; many-core computing; many-core programming models; reconfigurable architectures; System on chip (SoC)

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APA (6th Edition):

Tripathy, A. (2013). High Performance Information Filtering on Many-core Processors. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151862

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):

Tripathy, Aalap. “High Performance Information Filtering on Many-core Processors.” 2013. Thesis, Texas A&M University. Accessed June 16, 2019. http://hdl.handle.net/1969.1/151862.

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

MLA Handbook (7th Edition):

Tripathy, Aalap. “High Performance Information Filtering on Many-core Processors.” 2013. Web. 16 Jun 2019.

Vancouver:

Tripathy A. High Performance Information Filtering on Many-core Processors. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1969.1/151862.

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

Council of Science Editors:

Tripathy A. High Performance Information Filtering on Many-core Processors. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151862

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


Universidade Federal do Maranhão

88. André Luis Silva dos Santos. UM MODELO DE SISTEMA DE FILTRAGEM HÍBRIDA PARA UM AMBIENTE COLABORATIVO DE ENSINO APRENDIZAGEM.

Degree: 2008, Universidade Federal do Maranhão

A Web é uma excelente fonte de informação, mas um dos problemas que surgem com a grande disseminação de informações é a dificuldade de se… (more)

Subjects/Keywords: Filtering Information Systems; Técnicas de Filtragem de Informação; Collaborative Learning Environment; Sistemas de Filtragem de Informação; Ambientes Colaborativos de Ensino- Aprendizagem; ENGENHARIA DE SOFTWARE; Techniques of Filtering Information

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

APA (6th Edition):

Santos, A. L. S. d. (2008). UM MODELO DE SISTEMA DE FILTRAGEM HÍBRIDA PARA UM AMBIENTE COLABORATIVO DE ENSINO APRENDIZAGEM. (Thesis). Universidade Federal do Maranhão. Retrieved from http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=114

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):

Santos, André Luis Silva dos. “UM MODELO DE SISTEMA DE FILTRAGEM HÍBRIDA PARA UM AMBIENTE COLABORATIVO DE ENSINO APRENDIZAGEM.” 2008. Thesis, Universidade Federal do Maranhão. Accessed June 16, 2019. http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=114.

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

MLA Handbook (7th Edition):

Santos, André Luis Silva dos. “UM MODELO DE SISTEMA DE FILTRAGEM HÍBRIDA PARA UM AMBIENTE COLABORATIVO DE ENSINO APRENDIZAGEM.” 2008. Web. 16 Jun 2019.

Vancouver:

Santos ALSd. UM MODELO DE SISTEMA DE FILTRAGEM HÍBRIDA PARA UM AMBIENTE COLABORATIVO DE ENSINO APRENDIZAGEM. [Internet] [Thesis]. Universidade Federal do Maranhão; 2008. [cited 2019 Jun 16]. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=114.

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

Council of Science Editors:

Santos ALSd. UM MODELO DE SISTEMA DE FILTRAGEM HÍBRIDA PARA UM AMBIENTE COLABORATIVO DE ENSINO APRENDIZAGEM. [Thesis]. Universidade Federal do Maranhão; 2008. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=114

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


University of Technology, Sydney

89. Li, Fangfang. Incorporating couplings into collaborative filtering.

Degree: 2016, University of Technology, Sydney

 Recommender Systems (RS) have been proposed to help users tackle information overload by suggesting potentially interesting items to users. A typical RS usually has a… (more)

Subjects/Keywords: Recommender Systems (RS).; Collaborative Filtering (CF).; Hybrid Filtering.; Coupling.; Coupled user-based matrix factorization (CUMF).; Coupled item-based matrix factorization (CIMF).; Coupled matrix factorization (CMF).

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

APA (6th Edition):

Li, F. (2016). Incorporating couplings into collaborative filtering. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/44174

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):

Li, Fangfang. “Incorporating couplings into collaborative filtering.” 2016. Thesis, University of Technology, Sydney. Accessed June 16, 2019. http://hdl.handle.net/10453/44174.

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

MLA Handbook (7th Edition):

Li, Fangfang. “Incorporating couplings into collaborative filtering.” 2016. Web. 16 Jun 2019.

Vancouver:

Li F. Incorporating couplings into collaborative filtering. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10453/44174.

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

Council of Science Editors:

Li F. Incorporating couplings into collaborative filtering. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/44174

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


Université de Montréal

90. Arnautu, Octavian Rolland. Mures : Un système de recommandation de musique .

Degree: 2013, Université de Montréal

 Pendant la dernière décennie nous avons vu une transformation incroyable du monde de la musique qui est passé des cassettes et disques compacts à la… (more)

Subjects/Keywords: Systèmes de Recommandation de Musique; Filtrage Collaboratif; Filtrage a Base de Contenu; Flux RSS; Systèmes de Recommandation Hybrides; Filtrage Contextuel; Music Recommender Systems; Collaborative Filtering; Hybrid Recommendation; Context-Filtering

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

APA (6th Edition):

Arnautu, O. R. (2013). Mures : Un système de recommandation de musique . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/8961

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):

Arnautu, Octavian Rolland. “Mures : Un système de recommandation de musique .” 2013. Thesis, Université de Montréal. Accessed June 16, 2019. http://hdl.handle.net/1866/8961.

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

MLA Handbook (7th Edition):

Arnautu, Octavian Rolland. “Mures : Un système de recommandation de musique .” 2013. Web. 16 Jun 2019.

Vancouver:

Arnautu OR. Mures : Un système de recommandation de musique . [Internet] [Thesis]. Université de Montréal; 2013. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1866/8961.

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

Council of Science Editors:

Arnautu OR. Mures : Un système de recommandation de musique . [Thesis]. Université de Montréal; 2013. Available from: http://hdl.handle.net/1866/8961

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

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