Comparing two recommender algorithms with the help of recommendations by peers

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2703, Issue , 2003, Pages 137-158

  Geyer Schulz, Andreas ^a   Hahsler, Michael ^b  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; ERRORS; EVALUATION; INFORMATION TECHNOLOGY; LEARNING SYSTEMS; MARKETING; MATHEMATICAL MODELS; STATISTICAL METHODS; WEBSITES; ELECTRONIC TRADING;

MARKETING RESEARCH; MEAN ABSOLUTE ERRORS (MAE); RECOMMENDER ALGORITHMS; WEB USAGE MINING; EVALUATION FRAMEWORK; INTERNET INFORMATION; REPEAT BUYING; SOCIAL PROCESS; USAGE HISTORY; USAGE MINING; USEFUL PATTERNS;

KNOWLEDGE BASED SYSTEMS; ALGORITHMS;

EID: 23144437509     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39663-5_9     Document Type: Conference Paper

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