Recommender systems

Results: 381



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301   	
   Monday, Sep 1, 2014  Tuesday, Sep 2, 2014

    Monday, Sep 1, 2014 Tuesday, Sep 2, 2014

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Source URL: www.ebusiness-unibw.org

Language: English - Date: 2014-08-06 13:45:41
302Eigentaste 5.0: Constant-Time Adaptability in a Recommender System Using Item Clustering Tavi Nathanson Ephrat Bitton

Eigentaste 5.0: Constant-Time Adaptability in a Recommender System Using Item Clustering Tavi Nathanson Ephrat Bitton

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Source URL: ieor.berkeley.edu

Language: English - Date: 2007-08-31 03:30:28
303Recommendation Instructions To The Candidate: Please send a copy of this instruction sheet to each of the individuals you choose to write a recommendation for you. You should remind these individuals that applications an

Recommendation Instructions To The Candidate: Please send a copy of this instruction sheet to each of the individuals you choose to write a recommendation for you. You should remind these individuals that applications an

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Source URL: www.nmfonline.org

Language: English - Date: 2014-03-07 12:43:32
304[To appear in: Proceedings of the 8th International Conference on the Design of Cooperative Systems (COOP ’08), Carry-Le-Rouet, May 20-23, 2008] Soft peer review: Social software and distributed scientific evaluation D

[To appear in: Proceedings of the 8th International Conference on the Design of Cooperative Systems (COOP ’08), Carry-Le-Rouet, May 20-23, 2008] Soft peer review: Social software and distributed scientific evaluation D

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Source URL: nitens.org

Language: English - Date: 2009-02-11 10:07:46
305Enterprise Human Resource Services Customer Utility Board Sub-group[removed]Rate Methodology Recommendations HR Systems - iLearn The DAS iLearn program is currently projected to have a staff of 1.25 FTE (Full Time

Enterprise Human Resource Services Customer Utility Board Sub-group[removed]Rate Methodology Recommendations HR Systems - iLearn The DAS iLearn program is currently projected to have a staff of 1.25 FTE (Full Time

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Source URL: www.oregon.gov

Language: English - Date: 2013-12-04 20:57:30
306Microsoft Word - research.doc

Microsoft Word - research.doc

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Source URL: www.cs.cornell.edu

Language: English - Date: 2008-01-18 12:47:58
307“You Might Also Like:” Privacy Risks of Collaborative Filtering Joseph A. Calandrino1 , Ann Kilzer2 , Arvind Narayanan3 , Edward W. Felten1 , and Vitaly Shmatikov2 1  2

“You Might Also Like:” Privacy Risks of Collaborative Filtering Joseph A. Calandrino1 , Ann Kilzer2 , Arvind Narayanan3 , Edward W. Felten1 , and Vitaly Shmatikov2 1 2

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Source URL: www.cs.utexas.edu

Language: English - Date: 2011-03-09 17:26:37
308Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior Bhargav Kanagal*  Amr

Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior Bhargav Kanagal* Amr

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Source URL: www.cs.cmu.edu

Language: English - Date: 2012-07-16 05:04:08
309Combining Social Music and Semantic Web for music-related recommender systems Alexandre Passant1 , Yves Raimond2 1  DERI, National University of Ireland, Galway,

Combining Social Music and Semantic Web for music-related recommender systems Alexandre Passant1 , Yves Raimond2 1 DERI, National University of Ireland, Galway,

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Source URL: ceur-ws.org

Language: English - Date: 2008-10-22 05:02:04
310ASCSA Regular Membership Application

ASCSA Regular Membership Application

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Source URL: www.ascsa.edu.gr

Language: English - Date: 2013-09-19 11:34:39