Boosting collaborative filtering based on statistical prediction errors

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

Volumn , Issue , 2008, Pages 3-10

  Ding, Shengchao ^a,d,e   Zhao, Shiwan ^b   Yuan, Quan ^b   Zhang, Xiatian ^a   Fu, Rongyao ^b   Bergman, Lawrence ^c  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b IBM CHINA RESEARCH LAB   (China)

^c IBM T J WATSON RESEARCH CENTER   (United States)

^d UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^e IBM CHINA RESEARCH LAB   (China)

Author keywords

Collaborative filtering; Prediction errors; Recommender systems; Similarity

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING METHODS; DATA SPARSITIES; ERROR TERMS; PREDICTION ACCURACIES; PREDICTION ERRORS; RECOMMENDER SYSTEMS; SIMILARITY; STATE-OF-THE-ART METHODS; STATISTICAL PREDICTIONS; WEIGHTED AVERAGES;

FORECASTING; SIGNAL FILTERING AND PREDICTION;

ERRORS;

EID: 63449085621     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1454008.1454011     Document Type: Conference Paper

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