Recommender systems

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11WORKSHOPS: Methods for Boosting Recommender Systems

WORKSHOPS: Methods for Boosting Recommender Systems

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

- Date: 2012-08-23 11:03:14
    12APPNEXUS PARTNERS WITH VIDEO SSP DAILYMOTION EXCHANGE TO HELP VIDEO BUYERS REACH TARGET AUDIENCES AT SCALE AppNexus, the world’s leading independent advertising technology company, today added Dailymotion Exchange (DMX

    APPNEXUS PARTNERS WITH VIDEO SSP DAILYMOTION EXCHANGE TO HELP VIDEO BUYERS REACH TARGET AUDIENCES AT SCALE AppNexus, the world’s leading independent advertising technology company, today added Dailymotion Exchange (DMX

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    Source URL: advertising.dailymotion.com

    Language: English - Date: 2016-06-07 13:29:25
    1325TH INTERNATIONAL WORLD WIDE WEB CONFERENCE APRIL 11 TO 15, 2016 _ www2016.ca

    25TH INTERNATIONAL WORLD WIDE WEB CONFERENCE APRIL 11 TO 15, 2016 _ www2016.ca

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    Source URL: www2016.ca

    Language: English - Date: 2016-04-06 23:07:54
    14Recommendation engines have a number of different applications. From books to movies, they enable the analysis and prediction of consumer preferences. The prevalence of recommender systems in both the business and comput

    Recommendation engines have a number of different applications. From books to movies, they enable the analysis and prediction of consumer preferences. The prevalence of recommender systems in both the business and comput

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    Source URL: mmds-data.org

    Language: English - Date: 2016-06-23 15:50:48
    15Semester Thesis  History-Based Collaborative Filtering for Music Recommendation Fabian Reichlin April 2008

    Semester Thesis History-Based Collaborative Filtering for Music Recommendation Fabian Reichlin April 2008

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    Source URL: disco.ethz.ch

    Language: English - Date: 2014-09-26 08:37:01
    16Analyzing Temporal Dynamics in Twitter Profiles for Personalized Recommendations in the Social Web Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao Web Information Systems, TU Delft PO Box 5031, 2600 GA Delft, the Netherlan

    Analyzing Temporal Dynamics in Twitter Profiles for Personalized Recommendations in the Social Web Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao Web Information Systems, TU Delft PO Box 5031, 2600 GA Delft, the Netherlan

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    Source URL: www.websci11.org

    Language: English - Date: 2016-03-15 09:54:25
    17Hybrid Retrieval Approaches to Geospatial Music Recommendation Markus Schedl Dominik Schnitzer

    Hybrid Retrieval Approaches to Geospatial Music Recommendation Markus Schedl Dominik Schnitzer

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    Source URL: www.cp.jku.at

    Language: English - Date: 2013-04-18 01:28:58
    18Personalized Collaborative Clustering Yisong Yue Chong Wang  Disney Research

    Personalized Collaborative Clustering Yisong Yue Chong Wang Disney Research

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    Source URL: dl.dropboxusercontent.com

    Language: English
    19Robot, Organize my Shelves! Tidying up Objects by Predicting User Preferences Nichola Abdo Cyrill Stachniss

    Robot, Organize my Shelves! Tidying up Objects by Predicting User Preferences Nichola Abdo Cyrill Stachniss

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    Source URL: www.ipb.uni-bonn.de

    Language: English - Date: 2016-05-04 03:21:54
    20The Million Song Dataset Challenge Brian McFee∗ Thierry Bertin-Mahieux∗  CAL Lab

    The Million Song Dataset Challenge Brian McFee∗ Thierry Bertin-Mahieux∗ CAL Lab

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    Source URL: eceweb.ucsd.edu

    Language: English - Date: 2015-07-31 19:02:41