IDEAS home Printed from https://ideas.repec.org/a/ids/ijitma/v11y2012i4p307-322.html
   My bibliography  Save this article

Study on user preferences modelling based on web mining

Author

Listed:
  • Hongwei Wang
  • Yu Liu
  • Pei Yin

Abstract

In view of the needs of e-commerce website for recommendation system, user interest is divided into long-term interest and short-term interest, furthermore, based on long-term interest and short-term interest, a way to describe user-s preferences is proposed. Utilising the data from the web server database, using unsupervised learning, user's registration information can be fully mined to abstract user's long-term interest. Based on vector mapping, both the records data and content data on the server log is analysed to abstract user's short-term interest. Moreover, the rough profile presenting user's preferences can be modified by dealing with user's feedback, making updating user's preferences profile possible. Case analysis illustrates that to a certain extent this method is reasonable and feasible.

Suggested Citation

  • Hongwei Wang & Yu Liu & Pei Yin, 2012. "Study on user preferences modelling based on web mining," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 11(4), pages 307-322.
    • Handle: RePEc:ids:ijitma:v:11:y:2012:i:4:p:307-322
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=49995
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijitma:v:11:y:2012:i:4:p:307-322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=18 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.