• DocumentCode
    2410759
  • Title

    A Way to Improve Personalized Recommendation System Efficiency

  • Author

    Liu, Hualing ; Liu, Huarui ; Yu, Han

  • fYear
    2011
  • fDate
    21-23 Oct. 2011
  • Firstpage
    349
  • Lastpage
    353
  • Abstract
    In this paper, we analyze the current situation and existing problems of web log format. Besides, we study the web log mining algorithm in order to determine the log format of the data and an approach to custom this log format. With the custom logging, we can gain users´ preferred information accurately, reduce the complexity and workload of data preprocessing, thus improve the precision and efficiency of data mining. Consequently, custom logging will improve personalized recommendation system efficiency in terms of data quality.
  • Keywords
    Association rules; Classification algorithms; Clustering algorithms; Databases; Decision trees; Redundancy; custom web log; data quality; recommendation system; web mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2011 International Conference on
  • Conference_Location
    Chengdu, China
  • Print_ISBN
    978-1-4577-1540-2
  • Type

    conf

  • DOI
    10.1109/ICCIS.2011.316
  • Filename
    6086207
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2410759