• DocumentCode
    2200851
  • Title

    A recommender system for wiki pages: Usage based rating approach

  • Author

    Agasta Adline, A.L. ; Mahalakshmi, G.S.

  • Author_Institution
    Dept. of IT, Easwari Eng. Coll., Chennai, India
  • fYear
    2012
  • fDate
    19-21 April 2012
  • Firstpage
    553
  • Lastpage
    558
  • Abstract
    Online educational resources are in abundance, which urged the need for recommender systems to assist learners in identifying learning resources which suits their need. Wikipedia plays a major role in online delivery of educational resources. The open to access and edit feature of wiki allows anonymous users to include resources which necessitate the rating of wiki resources. Recommender systems suggests users with items that suits them the best. In this paper we propose a recommender system for wiki pages, which uses certain measures and metrics to rate the quality of wiki resources. The proposed model categorizes the wiki educational resources based on the purpose of usage.
  • Keywords
    Web sites; collaborative filtering; courseware; recommender systems; text editing; Wiki pages; Wiki resource quality; Wikipedia; editing; information access; learning resource identification; online educational resource delivery; recommender system; usage based rating approach; Electronic publishing; Encyclopedias; Internet; Measurement; Organizations; Recommender systems; Recommender system; rating; wik ipages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Trends In Information Technology (ICRTIT), 2012 International Conference on
  • Conference_Location
    Chennai, Tamil Nadu
  • Print_ISBN
    978-1-4673-1599-9
  • Type

    conf

  • DOI
    10.1109/ICRTIT.2012.6206831
  • Filename
    6206831