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  • 标题:Anti-Trust Rank: Fighting Web Spam
  • 本地全文:下载
  • 作者:Jyoti Pruthi ; Ela Kumar
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:1
  • 出版社:IJCSI Press
  • 摘要:The Web is both an excellent medium for sharing information as well as an attractive platform for delivering products and services. This platform is, to some extent, mediated by search engines in order to meet the needs of users seeking information. Search engines are the "dragons" that keep a valuable treasure: information. Given the vast amount of information available on the Web, it is customary to answer queries with only a small set of results (typically 10 or 15 pages at most). Search engines must then rank Web pages, in order to create a short list of high-quality results for users. Web spam can significantly deteriorate the quality of search engine results. Thus there is a large incentive for commercial search engines to detect spam pages efficiently and accurately. Here we present the main techniques recently introduced for Web Spam detection.
  • 关键词:Web Graph Model; Biased Page Rank; Trust Rank; Anti Trust Rank
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