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Volumn , Issue , 2008, Pages 733-734

To tag or not to tag - Harvesting adjacent metadata in large-scale tagging systems

Author keywords

Social communities; Tag propagation; Tagging systems

Indexed keywords

INFORMATION RETRIEVAL; INFORMATION SERVICES; RESEARCH AND DEVELOPMENT MANAGEMENT; THESAURI;

EID: 57349186537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390476     Document Type: Conference Paper
Times cited : (11)

References (6)
  • 1
    • 35348829851 scopus 로고    scopus 로고
    • S. Bao et al. Optimizing web search using social annotations. WWW, 2007.
    • S. Bao et al. Optimizing web search using social annotations. WWW, 2007.
  • 2
    • 35348876105 scopus 로고    scopus 로고
    • P. A. Chirita et al. P-tag: large scale automatic generation of personalized annotation tags for the web. WWW, 2007.
    • P. A. Chirita et al. P-tag: large scale automatic generation of personalized annotation tags for the web. WWW, 2007.
  • 3
    • 0038504811 scopus 로고    scopus 로고
    • Optimal aggregation algorithms for middleware
    • R. Fagin et al. Optimal aggregation algorithms for middleware. J. Comput. Syst. Sci., 66(4), 2003.
    • (2003) J. Comput. Syst. Sci , vol.66 , Issue.4
    • Fagin, R.1
  • 4
    • 33644912045 scopus 로고    scopus 로고
    • Usage patterns of collaborative tagging systems
    • S. Golder et al. Usage patterns of collaborative tagging systems. Journal of Information Science, 32(2), 2006.
    • (2006) Journal of Information Science , vol.32 , Issue.2
    • Golder, S.1
  • 5
    • 35348851483 scopus 로고    scopus 로고
    • H. Halpin et al. The complex dynamics of collaborative tagging. WWW, 2007.
    • H. Halpin et al. The complex dynamics of collaborative tagging. WWW, 2007.
  • 6
    • 34247336908 scopus 로고    scopus 로고
    • Ht06, tagging paper, taxonomy, flickr, academic article, to read
    • C. Marlow et al. Ht06, tagging paper, taxonomy, flickr, academic article, to read. HYPERTEXT, 2006.
    • (2006) HYPERTEXT
    • Marlow, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.