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Volumn , Issue , 2008, Pages 307-310

Improving top-N recommendation techniques using rating variance

Author keywords

Accuracy; Diversity; Rating variance; Recommendation filtering; Recommendation ranking

Indexed keywords

ACCURACY; DIVERSITY; DIVERSITY METRIC; ITEM SELECTIONS; NEW APPROACHES; PERSONALIZED RECOMMENDATIONS; RECOMMENDATION FILTERING; RECOMMENDATION RANKING; RECOMMENDATION TECHNIQUES; RECOMMENDER SYSTEMS;

EID: 63449119662     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1454008.1454059     Document Type: Conference Paper
Times cited : (21)

References (8)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
    • G. Adomavicius and A. Tuzhilin, Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions, IEEE Trans. on Knowledge and Data Engineering, 17 (6), pp.734-749, 2005.
    • (2005) IEEE Trans. on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-Based, Collaborative Recommendation
    • M. Balabanovic and Y. Shoham, Fab: Content-Based, Collaborative Recommendation, Comm. ACM, 40(3), pp.66-72, 1997.
    • (1997) Comm. ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.