• DocumentCode
    2418380
  • Title

    A Parameter-Adjustable Estimating Method for Change Frequency of Web Pages

  • Author

    Tan, Shuchen ; Zhang, Xuan

  • Author_Institution
    Inst. of Comput. Sci. & Eng., Xi´´an Univ. of Technol., Xi´´an, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1387
  • Lastpage
    1390
  • Abstract
    Refreshing on-line information in time is a main task of incremental crawling, so it is very important to predict the change frequency of web pages. We model the change of page as a Poisson process in this paper. And based on it, we propose a parameter-adjustable algorithm after considering the unbiasedness, efficiency and consistency comprehensively. This algorithm can adjust the parameters in order to estimate the change frequency more effective.
  • Keywords
    Web sites; information management; stochastic processes; Poisson process; Web page; change frequency; incremental crawling; online information; parameter adjustable estimating method; Biological system modeling; Frequency estimation; History; Mathematical model; Prediction algorithms; Time frequency analysis; Web pages; Poisson process; change frequency; incremental crawling; page change;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.352
  • Filename
    5591771