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Volumn , Issue , 2009, Pages 233-236

Analysis of cold-start recommendations in IPTV systems

Author keywords

Cold start; Collaborative; Implicit

Indexed keywords

COLD START PROBLEMS; COLD-START; DATA SETS; IPTV SYSTEMS; LATENT FACTOR; TIME EVOLUTIONS;

EID: 72249087942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1639714.1639756     Document Type: Conference Paper
Times cited : (43)

References (10)
  • 1
    • 34948850364 scopus 로고    scopus 로고
    • A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
    • H. J. Ahn. A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Inf. Sci., 178(1):37-51, 2008.
    • (2008) Inf. Sci , vol.178 , Issue.1 , pp. 37-51
    • Ahn, H.J.1
  • 6
    • 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 Trans. Inf. Syst., 22(1):116-142, 2004.
    • (2004) ACM Trans. Inf. Syst , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 7
    • 48249083902 scopus 로고    scopus 로고
    • Improving regularized singular value decomposition for collaborative filtering
    • A. Paterek. Improving regularized singular value decomposition for collaborative filtering. Proceedings of KDD Cup and Workshop, 2007.
    • (2007) Proceedings of KDD Cup and Workshop
    • Paterek, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.