• DocumentCode
    2863173
  • Title

    Personalities Mining of Community Users Based on the Ontology Semantic Analysis

  • Author

    Yu, Wei ; Xiong, Ting

  • Author_Institution
    Comput. Sch., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    383
  • Lastpage
    388
  • Abstract
    Community marketing,whose core of precision marketing, is pushingthe advertisement to the users who really need it.In this article, through building the feature model and interest model of users , we use ontology analysis and semantic mining to analyse behavior characteristics,statement and comments,concerned content etc,and finally dynamically build the real feature attribut and interest set of community users. In addition, we use reasoning under uncertainty to deduce users´ feature and interest. Our experiment demonstrate that this method peformance good accuracy on users´ feature attribute and interest set.
  • Keywords
    advertising data processing; consumer behaviour; data mining; inference mechanisms; ontologies (artificial intelligence); semantic networks; behavior analysis; community marketing; community user personalities mining; feature attribute; interest set; ontology semantic analysis; semantic mining; Accuracy; Communities; Correlation; Education; Entropy; Ontologies; Speech; Web Community; pattern matching; user model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
  • Conference_Location
    Shenzhan
  • Print_ISBN
    978-1-4577-1219-7
  • Type

    conf

  • DOI
    10.1109/IBICA.2011.100
  • Filename
    6118766