• DocumentCode
    1951074
  • Title

    Application and research of collaborative filtering in e-commerce recommendation system

  • Author

    Hu Jinming

  • Author_Institution
    Langfang Dept., Hebei Univ. of Technol., Langfang, China
  • Volume
    4
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    686
  • Lastpage
    689
  • Abstract
    In this paper, through the study of the existing collaborative filtering technologies and the e-commerce recommendation system concepts, architecture and the main recommendation technology and development, an improved collaborative filtering algorithm is designed and implemented. This algorithm can solve the scalability problem general collaborative filtering algorithms can not solve to some extent, thus the recommendation quality can be greatly improved.
  • Keywords
    electronic commerce; groupware; recommender systems; collaborative filtering algorithms; e-commerce recommendation system; Biological system modeling; Classification algorithms; Filtering algorithms; collaborative filtering; e-commerce; recommendation algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564681
  • Filename
    5564681
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1951074