Modeling user behavior in recommender systems based on maximum entropy

16th International World Wide Web Conference, WWW2007

Volumn , Issue , 2007, Pages 1281-1282

  Iwata, Tomoharu ^a   Saito, Kazumi ^a   Yamada, Takeshi ^a  

^a NTT Communication Science Laboratories   (Japan)

Author keywords

Maximum entropy principle; Recommendation; User model

Indexed keywords

DATA ACQUISITION; DISTRIBUTED COMPUTER SYSTEMS; MATHEMATICAL MODELS; ONLINE SYSTEMS;

MAXIMUM ENTROPY PRINCIPLE; ONLINE CARTOON DISTRIBUTION SERVICE; RECOMMENDER SYSTEMS; USER MODELS;

USER INTERFACES;

EID: 35348853775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1242572.1242808     Document Type: Conference Paper

References (3)

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2. T. Iwata, K. Salto, and T. Yamada. Recommendation methods for extending subscription periods. In Proceedings of the Conference on Knowledge Discovery and Data Mining, pages 574-579, 2006.
3. C.-N. Ziegler, S. M. Menee, J. A. Konstan, and G. Lausen. Improving recommendation lists through topic diversification. In Proceedings of the international conference on World Wide Web, pages 22-32, 2005.