Collaborative filtering

Results: 592



#Item
61Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation Yongfeng Zhang State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsi

Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation Yongfeng Zhang State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsi

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Source URL: yongfeng.me

Language: English - Date: 2015-12-28 22:53:24
62A User-aware Clicking Platform for Recommenders Rachid Guerraoui Mahsa Taziki  EPFL

A User-aware Clicking Platform for Recommenders Rachid Guerraoui Mahsa Taziki EPFL

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Source URL: womencourage.acm.org

Language: English - Date: 2016-08-09 09:13:44
63Information Seeking: Convergence of Search, Recommendations and Advertising Hector Garcia-Molina 1.

Information Seeking: Convergence of Search, Recommendations and Advertising Hector Garcia-Molina 1.

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Source URL: ilpubs.stanford.edu

Language: English - Date: 2011-07-06 17:38:02
64A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma State Key Laboratory of Intelligent Technology and Systems Department of Compute

A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma State Key Laboratory of Intelligent Technology and Systems Department of Compute

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Source URL: yongfeng.me

Language: English - Date: 2015-03-02 08:17:50
65Proceedings Template - WORD

Proceedings Template - WORD

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Source URL: robinnaughton.com

Language: English - Date: 2013-07-02 23:38:23
66Social Audio Features for Advanced Music Retrieval Interfaces Michael Kuhn Roger Wattenhofer

Social Audio Features for Advanced Music Retrieval Interfaces Michael Kuhn Roger Wattenhofer

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Source URL: disco.ethz.ch

Language: English - Date: 2014-09-26 08:36:29
67Can a Rock song have a Jazz audience? Relationship between folksonomy and collaborative filtering in music recommender systems. Eugenio Tacchini  Ernesto Damiani

Can a Rock song have a Jazz audience? Relationship between folksonomy and collaborative filtering in music recommender systems. Eugenio Tacchini Ernesto Damiani

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Source URL: www.websci11.org

Language: English - Date: 2016-03-15 09:54:58
68Wed, 13 July SHARED DAY 1: HYPERTEXT’2016 & UMAP’2016 UMAP 2016 Opening

Wed, 13 July SHARED DAY 1: HYPERTEXT’2016 & UMAP’2016 UMAP 2016 Opening

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Source URL: www.um.org

Language: English - Date: 2016-07-13 08:53:41
69Measuring Interactivity and Geographical Closeness of Online Social Network Users to Support Social Recommendation Systems Guilherme Sperb Machado, Thomas Bocek, Alexander Filitz, Burkhard Stiller Department of Informati

Measuring Interactivity and Geographical Closeness of Online Social Network Users to Support Social Recommendation Systems Guilherme Sperb Machado, Thomas Bocek, Alexander Filitz, Burkhard Stiller Department of Informati

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Source URL: www.cnsm-conf.org

Language: English - Date: 2014-11-10 17:17:54
70C OV ER F E AT U RE  MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER

C OV ER F E AT U RE MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER

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Source URL: datajobs.com

Language: English - Date: 2013-07-03 01:33:33