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Volumn , Issue , 2009, Pages 74-83

Getting the most out of social annotations for web page classification

Author keywords

Social annotations; Social bookmarking; Web page classification

Indexed keywords

CONTENT-BASED CLASSIFICATION; OPEN DIRECTORY PROJECTS; SOCIAL BOOKMARKING; WEB DOCUMENT; WEB PAGE; WEB PAGE CLASSIFICATION;

EID: 70450270770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1600193.1600211     Document Type: Conference Paper
Times cited : (38)

References (18)
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    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 9
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    • Authors vs. readers: A comparative study of document metadata and content in the WWW
    • Winnipeg, Manitoba, Canada, ACM
    • M. G. Noll and C. Meinel. Authors vs. Readers: A Comparative Study of Document Metadata and Content in the WWW. In Proceedings of the 2007 ACM symposium on Document engineering, pages 177-186, Winnipeg, Manitoba, Canada, 2007. ACM.
    • (2007) Proceedings of the 2007 ACM Symposium on Document Engineering , pp. 177-186
    • Noll, M.G.1    Meinel, C.2
  • 10
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    • Exploring social annotations for web document classification
    • Fortaleza, Ceara, Brazil, ACM
    • M. G. Noll and C. Meinel. Exploring Social Annotations for Web Document Classification. In Proceedings of the 2008 ACM symposium on Applied computing, pages 2315-2320, Fortaleza, Ceara, Brazil, 2008. ACM.
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    • Support vector machine committee for classification
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    • B.-Y. Sun, D.-S. Huang, L. Guo, and Z.-Q. Zhao. Support Vector Machine Committee for Classification. In F. Yin, J. Wang, and C. Guo, editors, Advances in Neural Networks - ISNN 2004, volume 3173 of Lecture Notes in Computer Science, pages 648-653. Springer, 2004.
    • (2004) Advances in Neural Networks - ISNN 2004 , pp. 648-653
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    • A study of approaches to hypertext categorization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.