• DocumentCode
    3473660
  • Title

    Web Page Recommender System based on Folksonomy Mining for ITNG´ 06 Submissions

  • Author

    Niwa, S. ; Doi, T. ; Honiden, S.

  • Author_Institution
    Tokyo Univ.
  • fYear
    2006
  • fDate
    10-12 April 2006
  • Firstpage
    388
  • Lastpage
    393
  • Abstract
    There have been many attempts to construct Web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to Web pages, and the number of Web pages on the Internet is too large. In this paper, we propose the way to construct a new type of Web page recommender system covering all over the Internet, by using folksonomy and social bookmark which are getting very popular in these days
  • Keywords
    Internet; data mining; information filters; Web page recommender system; folksonomy mining; social bookmark; Classification tree analysis; Collaboration; History; Information filtering; Information filters; Internet; Recommender systems; Tagging; Taxonomy; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-2497-4
  • Type

    conf

  • DOI
    10.1109/ITNG.2006.140
  • Filename
    1611624
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3473660