• DocumentCode
    3152425
  • Title

    NRCF: A Novel Collaborative Filtering Method for Service Recommendation

  • Author

    Sun, Huifeng ; Zheng, Zibin ; Chen, Junliang ; Lyu, Michael R.

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    4-9 July 2011
  • Firstpage
    702
  • Lastpage
    703
  • Abstract
    Since there are many Web services on the Internet, personalized Web service selection and recommendation is very important. In this paper, we present a new similarity measure for Web service similarity computation and propose a normal recovery collaborative filtering (NRCF) method for personalized Web service recommendation.
  • Keywords
    Web services; groupware; information filtering; Internet; Web service similarity computation; Web services; normal recovery collaborative filtering method; personalized Web service recommendation; personalized Web service selection; Collaboration; Euclidean distance; Quality of service; Recommender systems; Web services; Web sites; QoS; Service recommendation; collaborative ?ltering; recommender system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2011 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-0842-8
  • Electronic_ISBN
    978-0-7695-4463-2
  • Type

    conf

  • DOI
    10.1109/ICWS.2011.86
  • Filename
    6009460
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3152425