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Volumn , Issue , 2010, Pages 301-306

Using temporal information to improve predictive accuracy of collaborative filtering algorithms

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING ALGORITHMS; KEY TECHNIQUES; LARGE DATASETS; MEAN VALUES; PREDICTION FUNCTION; PREDICTIVE ACCURACY; RECOMMENDER SYSTEMS; TEMPORAL INFORMATION;

EID: 77954292848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APWeb.2010.40     Document Type: Conference Paper
Times cited : (7)

References (21)
  • 4
    • 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, pp. 76-80, 2003.
    • (2003) IEEE Internet Computing , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 11
    • 34948850364 scopus 로고    scopus 로고
    • A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
    • H. Ahn, "A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem," Information Sciences, vol.178, no.1, pp. 37-51, 2008.
    • (2008) Information Sciences , vol.178 , Issue.1 , pp. 37-51
    • Ahn, H.1
  • 14
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Z. Huang, H. Chen, and D. Zeng, "Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering," ACM Transactions on Information Systems (TOIS), vol.22, no.1, pp. 116-142, 2004.
    • (2004) ACM Transactions on Information Systems (TOIS) , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 15
    • 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, vol.17, no.6, pp. 734-749, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 16
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • T. Hofmann, "Latent semantic models for collaborative filtering," ACM Transactions on Information Systems (TOIS), vol.22, no.1, pp. 89-115, 2004.
    • (2004) ACM Transactions on Information Systems (TOIS) , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 17
    • 49749086487 scopus 로고    scopus 로고
    • Scalable collaborative filtering with jointly derived neighborhood interpolation weights
    • R. Bell and Y. Koren, "Scalable collaborative filtering with jointly derived neighborhood interpolation weights," in IEEE International Conference on Data Mining (ICDM07), 2007, pp. 43-52.
    • (2007) IEEE International Conference on Data Mining (ICDM07) , pp. 43-52
    • Bell, R.1    Koren, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.