Proposal of Recommender System Removed Popularity Bias by Using Information Gain
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[1] Pedro Cano,et al. From hits to niches?: or how popular artists can bias music recommendation and discovery , 2008, NETFLIX '08.
[2] Alexander Tuzhilin,et al. The long tail of recommender systems and how to leverage it , 2008, RecSys '08.
[3] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.
[4] Roberto Turrin,et al. Performance of recommender algorithms on top-n recommendation tasks , 2010, RecSys '10.
[5] Greg Linden,et al. Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .
[6] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[7] Harald Steck,et al. Item popularity and recommendation accuracy , 2011, RecSys '11.
[8] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[9] Neil J. Hurley,et al. Niche Product Retrieval in Top-N Recommendation , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.
[10] Lei Shi,et al. Trading-off among accuracy, similarity, diversity, and long-tail: a graph-based recommendation approach , 2013, RecSys.
[11] Michael J. Pazzani,et al. Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.