A clickstream-based collaborative filtering personalization model: Towards a better performance

Proceedings of the Interntational Workshop on Web Information and Data Management

Volumn , Issue , 2004, Pages 88-95

  Kim, Dong Ho ^a   Im, Il ^b   Adam, Nabil ^c   Atluri, Vijayalakshmi ^a   Bieber, Michael ^b   Yesha, Yelena ^c  

^a RUTGERS UNIVERSITY   (United States)

^b NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Association rule; Clickstream; Clustering; Collaborative filtering recommendation; Default model; F measure; Hybrid model; Markov model; Performance; Personalization model; Precision; Recall; Sequential association rule

Indexed keywords

ASSOCIATION RULE; CLICKSTREAM; CLUSTERING; COLLABORTIVE FILTERING RECOMMENDATION; DEFAULT MODEL; F MEASURE; HYBRID MODEL; MARKOV MODEL; PERSONALIZATION MODEL; SEQUENTIAL ASSOCIATION RULE;

COMPUTATIONAL COMPLEXITY; DATA MINING; MARKOV PROCESSES; MATHEMATICAL MODELS; ONLINE SYSTEMS; PERFORMANCE; SEMANTICS;

WORLD WIDE WEB;

EID: 18744391091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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