The long tail of recommender systems and how to leverage it

RecSys'08: Proceedings of the 2008 ACM Conference on Recommender Systems

Volumn , Issue , 2008, Pages 11-18

  Park, Yoon Joo ^a   Tuzhilin, Alexander ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

Clustering; Data mining; Long tail; Recommendation

Indexed keywords

CLUSTERING; COMPUTATIONAL PERFORMANCE; ERROR RATES; ITEMSET; LONG TAIL; RECOMMENDATION; RECOMMENDER SYSTEMS;

INFORMATION MANAGEMENT;

EID: 63449136183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1454008.1454012     Document Type: Conference Paper

References (9)

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4. Hervas-Drane, A. 2007. Word of Mouth and Recommender Systems: A Theory of the Long Tail. NET Institute Working Paper No.07-41, November 2007.
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