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Volumn 39, Issue 16, 2012, Pages 12398-12406

Product recommendation with temporal dynamics

Author keywords

Collaborative filtering; Long term profile; Recommendation with life cycle; Short term profile; Taxonomy

Indexed keywords

ELECTRONIC COMMERCE; SALES; TAXONOMIES;

EID: 84864452892     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.04.082     Document Type: Article
Times cited : (43)

References (33)
  • 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 Transactions on Knowledge and Data Engineering 17 6 2005 734 749
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 8
    • 36849023115 scopus 로고    scopus 로고
    • A learning framework using green's function and kernel regularization with application to recommender system
    • Ding, C. H. Q.; Jin, R.; Li, T.; Simon, H. D. (2007). A learning framework using green's function and kernel regularization with application to recommender system. In KDD (pp. 260-269).
    • (2007) KDD , pp. 260-269
    • Ding, C.H.Q.1    Jin, R.2    Li, T.3    Simon, H.D.4
  • 10
    • 22144457103 scopus 로고    scopus 로고
    • A personalized recommendation system based on product taxonomy for one-to-one marketing online
    • L. Hung A personalized recommendation system based on product taxonomy for one-to-one marketing online Expert Systems with Applications 29 2 2005 383 392
    • (2005) Expert Systems with Applications , vol.29 , Issue.2 , pp. 383-392
    • Hung, L.1
  • 13
    • 77950364314 scopus 로고    scopus 로고
    • Collaborative filtering with temporal dynamics
    • Y. Koren Collaborative filtering with temporal dynamics Communications of the ACM 53 4 2010 89 97
    • (2010) Communications of the ACM , vol.53 , Issue.4 , pp. 89-97
    • Koren, Y.1
  • 18
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • G. Linden, B. Smith, and J. York Amazon.com recommendations: Item-to-item collaborative filtering IEEE Internet Computing 7 1 2003 76 80
    • (2003) IEEE Internet Computing , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 20
    • 80052881372 scopus 로고    scopus 로고
    • Content-based recommender systems: State of the art and trends
    • P. Lops, M. Gemmis, and G. Semeraro Content-based recommender systems: State of the art and trends Recommender Systems Handbook 2011 73 105
    • (2011) Recommender Systems Handbook , pp. 73-105
    • Lops, P.1    Gemmis, M.2    Semeraro, G.3
  • 21
    • 11244275592 scopus 로고    scopus 로고
    • Detection of the customer time-variant pattern for improving recommender systems
    • S. Min, and I. Han Detection of the customer time-variant pattern for improving recommender systems Expert Systems with Applications 28 2 2005 189 199
    • (2005) Expert Systems with Applications , vol.28 , Issue.2 , pp. 189-199
    • Min, S.1    Han, I.2
  • 24
    • 0033325071 scopus 로고    scopus 로고
    • A framework for collaborative, content-based and demographic filtering
    • M. Pazzani A framework for collaborative, content-based and demographic filtering Artificial Intelligence Review 13 5 1999 393 408
    • (1999) Artificial Intelligence Review , vol.13 , Issue.5 , pp. 393-408
    • Pazzani, M.1
  • 31
    • 36849035955 scopus 로고    scopus 로고
    • Recommendation on item graphs
    • Wang, F.; Ma, S.; Yang, L.; Li, T. (2006). Recommendation on item graphs. In ICDM (pp. 1119-1123).
    • (2006) ICDM , pp. 1119-1123
    • Wang, F.1    Ma, S.2    Yang, L.3    Li, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.