• DocumentCode
    116756
  • Title

    Automatically identifying experts in on-line support forums using social interactions and post content

  • Author

    Munger, Tyler ; Jiabin Zhao

  • Author_Institution
    Baskin Sch. of Eng., Univ. of California Santa Cruz, Santa Cruz, CA, USA
  • fYear
    2014
  • fDate
    17-20 Aug. 2014
  • Firstpage
    930
  • Lastpage
    935
  • Abstract
    On-line support forums are a common method for businesses to provide product support for customers. The utility of these forums are typically determined by a small number of expert users who provide a large percentage of the high quality answers. The automatic identification of these experts would enable businesses to more effectively manage their support forums, reduce costs, and provide better solutions to customer problems.
  • Keywords
    business data processing; unsupervised learning; automatic identification; customer problems; online support forums; post content; product support; social interactions; Aging; Communication networks; Communities; Conferences; Security; Social network services; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ASONAM.2014.6921697
  • Filename
    6921697