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Volumn 215, Issue , 2007, Pages 49-56

Measuring similarity to detect qualified links

Author keywords

Link analysis; Link classification; Web search engine; Web spam

Indexed keywords

LINK ANALYSIS; LINK CLASSIFICATION; SEARCH QUALITY; WEB SPAM;

EID: 35548944039     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1244408.1244418     Document Type: Conference Paper
Times cited : (13)

References (25)
  • 1
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    • Detecting nepotistic links by language model disagreement
    • New York, NY, USA, ACM Press
    • A. A. Benczur, I. Biro, K. Csalogany, and M. Uher. Detecting nepotistic links by language model disagreement. In Proceedings of the 15th WWW conference, pages 939-940, New York, NY, USA, 2006. ACM Press.
    • (2006) Proceedings of the 15th WWW conference , pp. 939-940
    • Benczur, A.A.1    Biro, I.2    Csalogany, K.3    Uher, M.4
  • 8
    • 35548958457 scopus 로고    scopus 로고
    • B. D. Davison. Recognizing nepotistic links on the Web. In Artificial Intelligence for Web Search, pages 23-28. AAAI Press, July 2000. Presented at the AAAI-2000 workshop on Artificial Intelligence for Web Search, Technical Report WS-00-01.
    • B. D. Davison. Recognizing nepotistic links on the Web. In Artificial Intelligence for Web Search, pages 23-28. AAAI Press, July 2000. Presented at the AAAI-2000 workshop on Artificial Intelligence for Web Search, Technical Report WS-00-01.
  • 9
    • 34250684576 scopus 로고    scopus 로고
    • Thwarting the nigritude ultramarine: Learning to identify link spam
    • I. Drost and T. Scheffer. Thwarting the nigritude ultramarine: learning to identify link spam. In Proceeding of the ECML, 2005.
    • (2005) Proceeding of the ECML
    • Drost, I.1    Scheffer, T.2
  • 10
    • 77954428596 scopus 로고    scopus 로고
    • Spam, damn spam, and statistics: Using statistical analysis to locate spam web
    • June
    • D. Fetterly, M. Manasse, and M. Najork. Spam, damn spam, and statistics: Using statistical analysis to locate spam web pages. In Proceedings of WebDB, pages 1-6, June 2004.
    • (2004) Proceedings of WebDB , pp. 1-6
    • Fetterly, D.1    Manasse, M.2    Najork, M.3
  • 13
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • B. Schölkopf, C. Burges, and A. Smola, editors, MIT Press, Cambridge, MA
    • T. Joachims. Making large-scale support vector machine learning practical. In B. Schölkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge, MA, 1998.
    • (1998) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 15
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5): 604-632, 1999.
    • (1999) Journal of the ACM , vol.46 , Issue.5 , pp. 604-632
    • Kleinberg, J.M.1
  • 16
    • 0033717337 scopus 로고    scopus 로고
    • The stochastic approach for link-structure analysis (SALSA) and the TKC effect
    • R. Lempel and S. Moran. The stochastic approach for link-structure analysis (SALSA) and the TKC effect. Computer Networks, 33(1-6):387-401, 2000.
    • (2000) Computer Networks , vol.33 , Issue.1-6 , pp. 387-401
    • Lempel, R.1    Moran, S.2
  • 20
    • 84858369721 scopus 로고    scopus 로고
    • Open Directory Project ODP
    • Open Directory Project (ODP), 2007. http ://www.dmoz.com/.
    • (2007)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.