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Volumn , Issue , 2013, Pages 331-334

Interview process learning for top-N recommendation

Author keywords

Cold start problem; Decision tree; Functional matrix factorization; Ranking; Recommender system

Indexed keywords

BASELINE METHODS; COLD START PROBLEMS; COLD-START RECOMMENDATIONS; FUNCTIONAL MATRIX; PROCESS LEARNING; RANKING; RATE PREDICTIONS; USERS' INTERESTS;

EID: 84887602912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2507157.2507205     Document Type: Conference Paper
Times cited : (7)

References (5)
  • 4
    • 77954605272 scopus 로고    scopus 로고
    • Learning preferences of new users in recommender systems: An information theoretic approach
    • Dec
    • A. M. Rashid, G. Karypis, and J. Riedl. Learning preferences of new users in recommender systems: an information theoretic approach. SIGKDD Explor. Newsl., 10(2):90-100, Dec. 2008.
    • (2008) SIGKDD Explor. Newsl , vol.10 , Issue.2 , pp. 90-100
    • Rashid, A.M.1    Karypis, G.2    Riedl, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.