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Volumn 532, Issue , 2009, Pages 25-32

A tag recommender system exploiting user and community behavior

Author keywords

Collaborative tagging systems; Folksonomies; Recommender systems; Web 2.0

Indexed keywords

COLLABORATIVE PLATFORM; COLLABORATIVE TAGGING; EXPERIMENTAL EVALUATION; FOLKSONOMIES; SOCIAL TAGGING; SPECIFIC TAGS; TAG RECOMMENDER SYSTEMS; WEB 2.0;

EID: 84888355021     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (18)
  • 4
    • 33644912045 scopus 로고    scopus 로고
    • The structure of collaborative tagging systems
    • S. Golder and B. A. Huberman. The Structure of Collaborative Tagging Systems. Journal of Information Science, 32(2):198-208, 2006.
    • (2006) Journal of Information Science , vol.32 , Issue.2 , pp. 198-208
    • Golder, S.1    Huberman, B.A.2
  • 8
    • 71249144581 scopus 로고    scopus 로고
    • Tag recommendation for folksonomies oriented towards individual users
    • M. Lipczak. Tag recommendation for folksonomies oriented towards individual users. In Proceedings of ECML PKDD Discovery Challenge (RSDC08), pages 84-95, 2008.
    • (2008) Proceedings of ECML PKDD Discovery Challenge (RSDC08) , pp. 84-95
    • Lipczak, M.1
  • 9
    • 84879557983 scopus 로고    scopus 로고
    • L. B. Marinho and L. Schmidt-Thieme. Collaborative tag recommendations, pages 533-540. 2008
    • L. B. Marinho and L. Schmidt-Thieme. Collaborative tag recommendations. pages 533-540. 2008.
  • 11
    • 34250639068 scopus 로고    scopus 로고
    • Autotag: A collaborative approach to automated tag assignment for weblog posts
    • New York, NY, USA, ACM
    • G. Mishne. Autotag: A collaborative approach to automated tag assignment for weblog posts. In WWW '06: Proceedings of the 15th international conference on World Wide Web, pages 953-954, New York, NY, USA, 2006. ACM.
    • (2006) WWW '06: Proceedings of the 15th International Conference on World Wide Web , pp. 953-954
    • Mishne, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.