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Volumn , Issue , 2008, Pages 1119-1120

Improving web spam detection with re-extracted features

Author keywords

Content spam; Link spam; Machine learning; Web spam

Indexed keywords

FEATURE EXTRACTION; LEARNING SYSTEMS; SEARCH ENGINES; SPAMMING; WORLD WIDE WEB;

EID: 57349142890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1367497.1367685     Document Type: Conference Paper
Times cited : (5)

References (5)
  • 4
    • 57349187769 scopus 로고    scopus 로고
    • Yahoo! Research: Web Collection UK-2006. http://research. yahoo.com/ Crawled by the Laboratory of Algorithmics, University of Milan, http://www.yr-bcn.es/webspam/ URL retrieved Jan. 2008
    • Yahoo! Research: "Web Collection UK-2006". http://research. yahoo.com/ Crawled by the Laboratory of Algorithmics, University of Milan, http://www.yr-bcn.es/webspam/ URL retrieved Jan. 2008
  • 5
    • 57349108188 scopus 로고    scopus 로고
    • Improving Web Spam Classifiers Using Link Structure
    • Banff, Canada, May
    • Q.Q. Gan and Torsten Suel. Improving Web Spam Classifiers Using Link Structure. AIR Web'07, Banff, Canada, May, 2007
    • (2007) AIR Web'07
    • Gan, Q.Q.1    Suel, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.