• DocumentCode
    3026914
  • Title

    Improving the performance of multi-criteria recommendation system using fuzzy integrated meta heuristic

  • Author

    Parveen, Hina ; Ashraf, Mohd ; Parveen, Rubina

  • Author_Institution
    Sch. of ICT, Gautam Buddha Univ., Noida, India
  • fYear
    2015
  • fDate
    15-16 May 2015
  • Firstpage
    304
  • Lastpage
    308
  • Abstract
    Recommender systems have been researched in the extreme in recent years, and are implemented in a variety of applications. Increasing number of E-commerce sites on the Internet has made the information overload. In general, users are enabled to provide overall ratings on items but many online systems allow users to provide their ratings on different criterions. So much research work have been made in the past to build a recommendation system focusing on the ratings of a single criterion. However, using the approach of multi criteria recommender systems in online environment is still in its developing phase. This proposed approach recommends the relevant item to the user with the help of Fuzzy Multi-criteria Decision Making approach.
  • Keywords
    Internet; decision making; electronic commerce; fuzzy set theory; recommender systems; Internet; e-commerce sites; fuzzy integrated meta heuristic; fuzzy multicriteria decision making approach; multicriteria recommendation system; multicriteria recommender systems; online environment; Automation; Collaboration; Decision making; Motion pictures; Pragmatics; Recommender systems; Fuzzy Multi-criteria Decision Making; Fuzzy linguistic; Recommendation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication & Automation (ICCCA), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8889-1
  • Type

    conf

  • DOI
    10.1109/CCAA.2015.7148394
  • Filename
    7148394