• DocumentCode
    183539
  • Title

    Community based recommendation system based on products

  • Author

    Nandagawali, P.A. ; Patil, J.M.

  • Author_Institution
    Dept. of Comput. Eng., SSGMCE, Shegaon, India
  • fYear
    2014
  • fDate
    6-8 Oct. 2014
  • Firstpage
    150
  • Lastpage
    153
  • Abstract
    The spread of technology through internet is increasing day by day. With the increasing technology, use of the recommendation systems is coming into force. The recommendation systems solve many problems of customers by providing them recommendation based on their choice of products. Many of the collaborative filtering algorithms have been used for this purpose. This paper provides a solution for the various recommender systems by using collaborative filtering algorithms with the community based user domain model. The main purpose is to satisfy the customer´s product needs by providing them recommendation based on products.
  • Keywords
    Internet; collaborative filtering; customer services; recommender systems; Internet; collaborative filtering algorithms; community based recommendation system; community based user domain model; customer product needs; Collaboration; Communities; Computational modeling; Prediction algorithms; Recommender systems; Social network services; Recommendation system; collaborative filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Automation and Communication (INPAC), 2014 International Conference on
  • Conference_Location
    Amravati
  • Print_ISBN
    978-1-4799-7168-8
  • Type

    conf

  • DOI
    10.1109/INPAC.2014.6981153
  • Filename
    6981153