Analyzing category correlations for recommendation system

Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011

Volumn , Issue , 2011, Pages

  Scholz, Bernhard ^a   Choi, Sang Min ^b   Ko, Sang Ki ^b   Eom, Hae Sung ^b   Han, Yo Sub ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b Yonsei University   (South Korea)

Author keywords

Cold start problem; Genre correlation; Recommendation system; Sparsity problem

Indexed keywords

20TH CENTURY; COLD START PROBLEMS; COLLABORATIVE FILTERING; GENRE CORRELATION; INTERNET USERS; MODIFIED ALGORITHMS; RECOMMENDATION SYSTEMS; SPARSITY PROBLEM; SPARSITY PROBLEMS; USER INFORMATION; USER RATING; WEB 2.0;

ALGORITHMS; INFORMATION MANAGEMENT; MOTION PICTURES; PROBLEM SOLVING; USER INTERFACES; WORLD WIDE WEB;

RECOMMENDER SYSTEMS;

EID: 79955982961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1968613.1968615     Document Type: Conference Paper

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