• DocumentCode
    3081967
  • Title

    Clustering in User Information Retrieval on Web

  • Author

    Sharma, Shantanu ; Mangat, Veenu

  • Author_Institution
    Inst. of Eng. & Technol., Panjab Univ., Chandigarh, India
  • fYear
    2013
  • fDate
    24-26 Aug. 2013
  • Firstpage
    287
  • Lastpage
    290
  • Abstract
    This paper focuses on personalization of "user information needs" by applying clustering techniques of data mining. In the current data centric world, it is very important to analyze data properly and draw the crux from the available for effective creation and maintenance of user profiles. This paper throws explains the use of an indispensable technique called Clustering Technique, which is used to group items exhibiting similar behavior into different item sets.
  • Keywords
    Internet; data mining; information retrieval; pattern clustering; World Wide Web; clustering techniques; data mining; user information needs; user information retrieval; Clustering algorithms; Conferences; Data mining; Educational institutions; Information retrieval; Neural networks; Particle swarm optimization; Personalization of information; clustering; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Business Intelligence (ISCBI), 2013 International Symposium on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-0-7695-5066-4
  • Type

    conf

  • DOI
    10.1109/ISCBI.2013.64
  • Filename
    6724369