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Detecting Intentionally Biased Web Pages In terms of Hypertext Information

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(1), pp.59-66
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

이우기 1

1한국재활복지대학

Candidate

ABSTRACT

The organization of the web is progressively more being used to improve search and analysis of information on the web as a large collection of heterogeneous documents. Most people begin at a Web search engine to find information, but the user's pertinent search results are often greatly diluted by irrelevant data or sometimes appear on target but still mislead the user in an unwanted direction. One of the intentional, sometimes vicious manipulations of Web databases is a intentionally biased web page like Google bombing that is based on the PageRank algorithm, one of many Web structuring techniques. In this thesis, we regard the World Wide Web as a directed labeled graph that Web pages represent nodes and link edges. In the present work, we define the label of an edge as having a link context and a similarity measure between link context and target page. With this similarity, we can modify the transition matrix of the PageRank algorithm. By suggesting a motivating example, it is explained how our proposed algorithm can filter the Web intentionally biased web pages effective about 60% rather than the conventional PageRank.

Citation status

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