On exploiting classification taxonomies in recommender systems

AI Communications

Volumn 21, Issue 2-3, 2008, Pages 97-125

  Ziegler, Cai Nicolas ^a   Lausen, Georg ^b   Konstan, Joseph A ^c  

^a SIEMENS AG   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Collaborative filtering; Metrics; Taxonomies; Topic diversification

Indexed keywords

ELECTRONIC COMMERCE; INFORMATION RETRIEVAL SYSTEMS; SIGNAL FILTERING AND PREDICTION;

BACKGROUND KNOWLEDGES; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING ALGORITHMS; CONSUMER GOODS; DIVERSE DOMAINS; E COMMERCES; EMPIRICAL ANALYSES; METRICS; OFFLINE; OFFLINE ANALYSES; PERSONALIZED RECOMMENDATIONS; PRODUCT CLASSIFICATIONS; RECOMMENDER SYSTEMS; TOPIC DIVERSIFICATION; USER INFORMATIONS; USER SATISFACTIONS;

TAXONOMIES;

EID: 57349200477     PISSN: 09217126     EISSN: None     Source Type: Journal    
DOI: 10.3233/AIC-2008-0430     Document Type: Conference Paper

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