• DocumentCode
    1631501
  • Title

    Pagerank algorithm improvement by page relevance measurement

  • Author

    Yen, Chia-Chen ; Hsu, Jih-Shih

  • Author_Institution
    Dept. of Inf. Manage., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan
  • fYear
    2009
  • Firstpage
    502
  • Lastpage
    506
  • Abstract
    Pagerank algorithm evaluates the importance of web pages by the link analysis, and there are many techniques to improve the traditional pagerank algorithm to prevent from the biases of link spamming in recent years. The modified algorithms should concern not only the correctness, but also the efficiency should be considered. This paper proposes an associated pagerank algorithm for search engines to feedback quality results by scoring the relevance between web documents. The modified Pagerank algorithm increases the degree of relevance than the original one, and decreases the query time efforts of topicsensitive pagerank.
  • Keywords
    Web sites; document handling; information analysis; search engines; Pagerank; Web pages; link analysis; link spamming; page relevance measurement; query time; search engines; Algorithm design and analysis; Damping; Feedback; Information analysis; Information management; Information retrieval; Search engines; Voting; Web pages; Web search; document relevance; information retrieval; pagerank; topic-sensitive; web search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277414
  • Filename
    5277414