A collaborative filtering algorithm and evaluation metric that accurately model the user experience

Proceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2004, Pages 329-336

  McLaughlin, Matthew R ^a   Herlocker, Jonathan L ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

Algorithms; Collaborative filtering; Evaluation; Machine learning; Mean absolute error; Nearest neighbor; Precision; Recommender systems

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; WORLD WIDE WEB;

ABSOLUTE ERRORS; COLLABORATIVE FILTERING (CF); NEAREST NEIGHBOR; RECOMMENDER SYSTEMS;

INFORMATION SCIENCE;

EID: 8644228708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1008992.1009050     Document Type: Conference Paper

References (9)

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