• DocumentCode
    145553
  • Title

    Exploiting Web Browsing Activities for User Needs Identification

  • Author

    Gasparetti, Fabio ; Micarelli, Alessandro ; Sansonetti, Giuseppe

  • Author_Institution
    Roma Tre Univ., Rome, Italy
  • Volume
    2
  • fYear
    2014
  • fDate
    10-13 March 2014
  • Firstpage
    86
  • Lastpage
    89
  • Abstract
    Browsing sessions are rich in elements useful to build profiles of user interests, but at the same time HTML pages include noise data, such as ads and navigation menus. Moreover, pages might cover several different topics. For these reasons they are often ignored in personalized approaches. We propose a novel approach for implicitly recognizing valuable text descriptions of current user needs based on the implicit feedback revealed through web browsing interactions.
  • Keywords
    hypermedia markup languages; information needs; online front-ends; text analysis; HTML pages; Web browsing activity; Web browsing interaction; browsing sessions; text descriptions; user interest; user needs identification; Data mining; Educational institutions; HTML; History; Search engines; Semantics; Web pages; browser; information cues; user needs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/CSCI.2014.100
  • Filename
    6822309
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=145553