Re-considering neighborhood-based collaborative filtering parameters in the context of new data

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2008, Pages 1481-1482

  Howe, Adele E ^a   Forbes, Ryan D ^b  

^a Department of Computer Science   (United States)

^b Ready Talk   (United States)

Author keywords

Experimentation

Indexed keywords

COLLABORATIVE FILTERING; CRITICAL FACTORS; DATA SETS; EXPERIMENTATION; PEARSON CORRELATION; SIMILARITY METRICS;

KNOWLEDGE MANAGEMENT;

SIGNAL FILTERING AND PREDICTION;

EID: 70349249918     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458082.1458345     Document Type: Conference Paper

References (5)

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2. J. Herlocker, J. A. Konstan, and J. Riedl. An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Information Retrieval, 5:287-310, 2002.
3. J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 230-237, New York, NY, USA, 1999. ACM Press.
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