Collaborative filtering

Results: 592



#Item
31I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I

I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
32DiRec: Diversified Recommendations for Semantic-less Collaborative Filtering Rubi Boim, Tova Milo, Slava Novgorodov School of Computer Science Tel-Aviv University {boim,milo,slavanov}@post.tau.ac.il

DiRec: Diversified Recommendations for Semantic-less Collaborative Filtering Rubi Boim, Tova Milo, Slava Novgorodov School of Computer Science Tel-Aviv University {boim,milo,slavanov}@post.tau.ac.il

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Source URL: www.cs.tau.ac.il

Language: English - Date: 2011-05-13 08:28:21
33IEEE TRANSACTIONS ON BIG DATA,  VOL. 2, NO. 2, APRIL-JUNE 2016

IEEE TRANSACTIONS ON BIG DATA, VOL. 2, NO. 2, APRIL-JUNE 2016

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Source URL: octavia.zoology.washington.edu

Language: English - Date: 2016-08-12 02:03:13
34A Hybrid Peer Recommender System for an Online Community of Teachers Cristian Miranda U. Austral de Chile Casilla 567, Valdivia

A Hybrid Peer Recommender System for an Online Community of Teachers Cristian Miranda U. Austral de Chile Casilla 567, Valdivia

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Source URL: columbus.exp.sis.pitt.edu

Language: English - Date: 2014-09-24 15:05:45
35In the Mood4: Recommendation by Examples Rubi Boim and Tova Milo School of Computer Science, Tel Aviv University  ,

In the Mood4: Recommendation by Examples Rubi Boim and Tova Milo School of Computer Science, Tel Aviv University ,

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Source URL: www.cs.tau.ac.il

Language: English - Date: 2013-04-24 03:43:04
36Personal vs. Social PersDB 2010 Magdalini Eirinaki San Jose State University, CA, USA  First, there were personalized

Personal vs. Social PersDB 2010 Magdalini Eirinaki San Jose State University, CA, USA First, there were personalized

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Source URL: persdb10.imis.athena-innovation.gr

Language: English - Date: 2010-09-24 11:17:17
37Learning to Rank Features for Recommendation over Multiple Categories Xu Chen1 Yongfeng Zhang2∗

Learning to Rank Features for Recommendation over Multiple Categories Xu Chen1 Yongfeng Zhang2∗

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Source URL: yongfeng.me

Language: English - Date: 2016-04-15 08:42:37
38IEEE TRANSACTIONS ON BIG DATA  1 A recommendation system based on hierarchical clustering of an article-level citation network

IEEE TRANSACTIONS ON BIG DATA 1 A recommendation system based on hierarchical clustering of an article-level citation network

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Source URL: www.jevinwest.org

Language: English - Date: 2016-03-23 14:35:06
39C:/Research/Publications/papers/MMM_2014/mmm_2014.dvi

C:/Research/Publications/papers/MMM_2014/mmm_2014.dvi

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Source URL: www.cp.jku.at

Language: English - Date: 2013-12-12 09:31:34
40The role of (non-)conformism in rating platforms ∗ CAMS Chih-Chun Chen∗ and Camille Roth ∗ ,†  (Centre d’Analyse et de Math´ematique Sociales), CNRS/EHESS

The role of (non-)conformism in rating platforms ∗ CAMS Chih-Chun Chen∗ and Camille Roth ∗ ,† (Centre d’Analyse et de Math´ematique Sociales), CNRS/EHESS

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Source URL: camille.roth.free.fr

Language: English - Date: 2011-10-12 19:27:35