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Volumn 53, Issue 4, 2010, Pages 89-97

Collaborative filtering with temporal dynamics

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; CONCEPT DRIFTS; CUSTOMER PREFERENCE MODELS; CUSTOMER PREFERENCES; DATA SETS; LIFE SPAN; MULTIPLE PRODUCTS; PRODUCT PERCEPTION; RECOMMENDER SYSTEMS; RELEVANT COMPONENTS; TEMPORAL DYNAMICS; TIME WINDOWS; TRANSIENT EFFECT;

EID: 77950364314     PISSN: 00010782     EISSN: 15577317     Source Type: Journal    
DOI: 10.1145/1721654.1721677     Document Type: Article
Times cited : (788)

References (20)
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    • Scalable collaborative fltering with jointly derived neighborhood interpolation weights
    • bell, r., Koren, y. scalable collaborative fltering with jointly derived neighborhood interpolation weights. IEEE International Conference on Data Mining (ICDM'07) (2007), 43-52.
    • (2007) IEEE International Conference on Data Mining (ICDM'07) , pp. 43-52
    • Bell, R.1    Koren, Y.2
  • 5
    • 84976668719 scopus 로고
    • Using collaborative fltering to weave an information tapestry
    • goldberg, d., nichols, d., oki, b.M., terry, d. Using collaborative fltering to weave an information tapestry. Commun. ACM 35 (1992), 61-70.
    • (1992) Commun. ACM , vol.35 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.M.3    Terry, D.4
  • 9
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren, y., bell, r., Volinsky, C. Matrix factorization techniques for recommender systems. IEEE Comput. 42 (2009), 30-37.
    • (2009) IEEE Comput. , vol.42 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 10
    • 0037252945 scopus 로고    scopus 로고
    • Amazon. com recommendations: Item-to-item collaborative fltering
    • Linden, g., smith, b., york, J. amazon. com recommendations: Item-to-item collaborative fltering. IEEE Internet Comput. 7 (2003), 76-80.
    • (2003) IEEE Internet Comput. , vol.7 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 11
    • 48249083902 scopus 로고    scopus 로고
    • Improving regularized singular value decomposition for collaborative fltering
    • Paterek, a. Improving regularized singular value decomposition for collaborative fltering. In Proceedings of the KDD Cup and Workshop (2007).
    • (2007) Proceedings of the KDD Cup and Workshop
    • Paterek, A.1
  • 13
    • 3042788736 scopus 로고    scopus 로고
    • Application of dimensionality reduction in recommender system-a case study
    • sarwar, b.M., Karypis, g., Konstan, J.a., riedl, J. application of dimensionality reduction in recommender system-a case study. WEBKDD'2000.
    • (2000) WEBKDD
    • Sarwar, B.M.1    Karypis, G.2    Konstan, A.J.3    Riedl, J.4
  • 17
    • 48349120710 scopus 로고    scopus 로고
    • Major components of the gravity recommendation aystem
    • takacs, g., Pilaszy, I., nemeth, b., tikk, d. Major components of the gravity recommendation aystem. SIGKDD Explor. 9 (2007), 80-84
    • (2007) SIGKDD Explor. , vol.9 , pp. 80-84
    • Takacs, G.1    Pilaszy, I.2    Nemeth, B.3    Tikk, D.4
  • 19
    • 26444562687 scopus 로고    scopus 로고
    • The problem of concept drift: Defnitions and related work
    • trinity College dublin
    • tsymbal, a. the problem of concept drift: defnitions and related work. technical report tCd-Cs-2004-2015 trinity College dublin, 2004
    • (2004) Technical Report TCd-Cs-2004-2015
    • Tsymbal, A.1
  • 20
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
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    • Widmer, G.1    Kubat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.