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Volumn , Issue , 2003, Pages 583-588

Nantonac collaborative filtering: Recommendation based on order responses

Author keywords

Collaborative filtering; Order; Recommender system

Indexed keywords

COLLABORATIVE FILTERING; DEGREE OF PREFERENCES; INDIVIDUAL PREFERENCE; MEASURING TECHNIQUE; RANKING METHODS; RECOMMENDER SYSTEMS; SD METHOD; SEMANTIC DIFFERENTIAL METHODS;

EID: 77952403762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/956750.956823     Document Type: Conference Paper
Times cited : (207)

References (17)
  • 2
    • 0002051628 scopus 로고    scopus 로고
    • Emprical analysis of predictive algorithms for collaborative filtering
    • J. S. Breese, D. Heckerman, and C. Kadie. Emprical analysis of predictive algorithms for collaborative filtering. In Uncertainty in Artificial Intelligence 14, pages 43-52, 1998.
    • (1998) Uncertainty in Artificial Intelligence , vol.14 , pp. 43-52
    • Breese, J.S.1    Heckerman, D.2    Kadie, C.3
  • 11
  • 17
    • 0001800572 scopus 로고
    • Mathematics, measurement, and psychophysics
    • S. S. Stevens, editor, John Wiley & Sons, Inc.
    • S. S. Stevens. Mathematics, measurement, and psychophysics. In S. S. Stevens, editor, Handbook of Experimental Psychology. John Wiley & Sons, Inc., 1951.
    • (1951) Handbook of Experimental Psychology
    • Stevens, S.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.