• DocumentCode
    2033863
  • Title

    An Interest-Based Recommending Framework of Folksonomies

  • Author

    Xiao, Ruliang ; Xiong, Jinbo

  • Author_Institution
    Fac. of Software, Fujian Normal Univ., Fuzhou
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Social network encourages users to show interest based Web collections of resources on the Web in a collaborative fashion. Social network systems aim at the automatic recommendation of interesting content to users about their interests and the context of interaction based on a model of folksonomy. The paper presents an interest based recommending framework for social network, and also gives a formalized model and recommending procedure. The proposed approach for interest-based recommendation can provide different types of interesting recommendations taking into account the current user interaction context.
  • Keywords
    groupware; information filters; social networking (online); Web collections; collaborative fashion; folksonomies; interest-based recommending framework; social network systems; user interaction context; Collaboration; Collaborative software; Collaborative work; Context modeling; Electronic mail; Information filtering; Information filters; Recommender systems; Social network services; Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072722
  • Filename
    5072722