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Volumn , Issue , 2005, Pages 86-89

Contextual recommender problems

Author keywords

data mining; exploration exploitation; multi armed bandit; personalization; recommenders; regression; reinforcement learning; utility

Indexed keywords

CLICK RATES; CONTEXT INFORMATION; MULTI ARMED BANDIT; MULTI-ARMED BANDIT PROBLEM; PERSONALIZATION; PERSONALIZATIONS; WEB PAGE;

EID: 33751025354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1089827.1089838     Document Type: Conference Paper
Times cited : (16)

References (9)
  • 6
    • 77953631184 scopus 로고    scopus 로고
    • The budgeted multi-armed bandit problem
    • O. Madani, D. J. Lizotte, and R. Greiner. The budgeted multi-armed bandit problem. In COLT, 2004.
    • (2004) COLT
    • Madani, O.1    Lizotte, D.J.2    Greiner, R.3
  • 7
    • 77953627436 scopus 로고    scopus 로고
    • Towards adaptable web sites: Conceptual framework and case study
    • M. Perkowitz and O. Etzioni. Towards adaptable web sites: Conceptual framework and case study. Artificial Intelligence, 2001.
    • (2001) Artificial Intelligence
    • Perkowitz, M.1    Etzioni, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.