• DocumentCode
    3681377
  • Title

    Deviation Methods via Social Review Graph in Evaluation Systems of Online Store

  • Author

    Xiujuan Xu;Xiaowei Zhao;Yu Liu;Zhenzhen Xu;Zhenlong Xu

  • Author_Institution
    Sch. of Software, Dalian Univ. of Technol., Dalian, China
  • fYear
    2014
  • fDate
    5/1/2014 12:00:00 AM
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    Evaluation system is an important issue in data mining. In evaluation system, all reviewers try to assign fair scores on a set of object. We want to obtain fair reviewers for all objects. However, it is the real fact that reviewer may deviate in their score assigned to the same object. Therefore, the deviation is unavoidable in evaluation systems. In this paper we define deviation of evaluation systems. Then, two novel methods are constructed to measure deviation: deviation from Correct-Core viewers and deviation from MaxGap-Coreviewers. The experimental results show that the proposed measure methods are efficient and can be used to solve deviation problem in evaluation systems effectively.
  • Keywords
    "Standards","Histograms","Business","Algorithm design and analysis","Databases","Data mining","Web pages"
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2014 International Conference on
  • ISSN
    2165-3828
  • Type

    conf

  • DOI
    10.1109/ICSS.2014.27
  • Filename
    7312322