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Volumn , Issue , 2009, Pages 269-271

Topic-based web page recommendation using tags

Author keywords

Collaborative filtering; Collaborative tagging; Probabilistic models; Social tag

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING METHODS; COLLABORATIVE TAGGING; DATA SETS; PROBABILISTIC APPROACHES; PROBABILISTIC MODELS; REAL-WORLD; SOCIAL INFORMATION; SOCIAL TAG; WEB CONTENT; WEB PAGE;

EID: 70350059902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISI.2009.5137324     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 1
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    • Hofmann, T.1
  • 2
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    • Flexible mixture model for collaborative filtering
    • L. Si and R. Jin, Flexible mixture model for collaborative filtering, In Proc. of ICML, 2003.
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  • 3
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    • Item-based collaborative filtering recommendation algorithms
    • B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, Item-based collaborative filtering recommendation algorithms, In Proc. of WWW, 2001.
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    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 4
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    • Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach
    • D. M. Pennock, E. Horvitz, S. Lawrence, and C. L. Giles, Collaborative filtering by personality diagnosis: a hybrid memory and model-based approach, In Proc. of UAI, 2000.
    • (2000) Proc. of UAI
    • Pennock, D.M.1    Horvitz, E.2    Lawrence, S.3    Giles, C.L.4
  • 6
    • 35348870573 scopus 로고    scopus 로고
    • Z. Huang, D. Zeng, and C. Hsinchun, A comparison of collaborative- filtering recommendation algorithms for e-commerce, Intelligent Systems, IEEE, 22(5): 68-78, 2007.
    • Z. Huang, D. Zeng, and C. Hsinchun, A comparison of collaborative- filtering recommendation algorithms for e-commerce, Intelligent Systems, IEEE, 22(5): 68-78, 2007.
  • 7
    • 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):76-80, 2003.
    • (2003) IEEE Internet Computing , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 9
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    • AutoTag: A collaborative approach to automated tag assignment for weblog posts
    • G. Mishne, AutoTag: a collaborative approach to automated tag assignment for weblog posts, In Proc. of WWW, 2006.
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  • 11
    • 0002051628 scopus 로고    scopus 로고
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    • J. S. Breese, D. Heckerman, and C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, In Proc. of UAI, 1998.
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  • 13
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    • Usage patterns of collaborative tagging systems
    • S. A. Golder and B.A. Huberman, Usage patterns of collaborative tagging systems. J. Inf. Sci., 32(2): 198-208, 2006.
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  • 14
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    • Google news personalization: Scalable online collaborative filtering
    • A. S. Das, M. Datar, A. Garg, and S. Rajaram, Google news personalization: scalable online collaborative filtering, In Proc. of WWW, 2007.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.