Collaborative filtering

Results: 592



#Item
51Building a Lifestyle Recommender System Supiya Ujjin and Peter J. Bentley University College London Department of Computer Science Gower Street, London WC1E 6BT

Building a Lifestyle Recommender System Supiya Ujjin and Peter J. Bentley University College London Department of Computer Science Gower Street, London WC1E 6BT

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Source URL: www10.org

Language: English - Date: 2001-03-07 23:54:12
52Journal of Machine Learning Research 18:199–213, 2012  Proceedings of KDD-Cup 2011 competition Combining Predictors for Recommending Music: the False Positives’ approach to KDD Cup track 2

Journal of Machine Learning Research 18:199–213, 2012 Proceedings of KDD-Cup 2011 competition Combining Predictors for Recommending Music: the False Positives’ approach to KDD Cup track 2

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Source URL: jmlr.org

Language: English - Date: 2012-06-01 11:02:19
53When Recommendation Goes Wrong - Anomalous Link Discovery in Recommendation Networks ∗ Bryan Perozzi

When Recommendation Goes Wrong - Anomalous Link Discovery in Recommendation Networks ∗ Bryan Perozzi

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Source URL: www.kdd.org

Language: English - Date: 2016-07-03 17:45:12
54I 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
5515th International Society for Music Information Retrieval Conference (ISMIRIMPROVING MUSIC RECOMMENDER SYSTEMS: WHAT CAN WE LEARN FROM RESEARCH ON MUSIC TASTES? Audrey Laplante École de bibliothéconomie et des

15th International Society for Music Information Retrieval Conference (ISMIRIMPROVING MUSIC RECOMMENDER SYSTEMS: WHAT CAN WE LEARN FROM RESEARCH ON MUSIC TASTES? Audrey Laplante École de bibliothéconomie et des

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Source URL: www.terasoft.com.tw

Language: English - Date: 2014-10-21 11:44:22
56UNIVERSITY OF CALIFORNIA RIVERSIDE Dimensionality Reduction Algorithms With Applications to Collaborative Data and Images  A Dissertation submitted in partial satisfaction

UNIVERSITY OF CALIFORNIA RIVERSIDE Dimensionality Reduction Algorithms With Applications to Collaborative Data and Images A Dissertation submitted in partial satisfaction

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2011-01-19 19:25:42
57Improved Recommendations via (More) Collaboration Rubi Boim Haim Kaplan  Tova Milo

Improved Recommendations via (More) Collaboration Rubi Boim Haim Kaplan Tova Milo

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Source URL: www.mancoosi.org

Language: English - Date: 2012-12-16 04:54:55
58Context-Aware Friend Recommendation for Location Based Social Networks using Random Walk Hakan Bagci Pinar Karagoz

Context-Aware Friend Recommendation for Location Based Social Networks using Random Walk Hakan Bagci Pinar Karagoz

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Source URL: www2016.net

Language: English - Date: 2016-04-10 09:03:35
59An analysis of Social News Websites Diego M. Virasoro Pauline Leonard  Mark Weal

An analysis of Social News Websites Diego M. Virasoro Pauline Leonard Mark Weal

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Source URL: www.websci11.org

Language: English - Date: 2016-03-15 09:54:51
60Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs Yongfeng Zhang Department of Computer Science and Technology Tsinghua University, Beijing, 100084, China

Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs Yongfeng Zhang Department of Computer Science and Technology Tsinghua University, Beijing, 100084, China

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Source URL: yongfeng.me

Language: English - Date: 2015-12-28 22:59:24