IDEAS home Printed from https://ideas.repec.org/a/igg/jssmet/v6y2015i2p35-49.html
   My bibliography  Save this article

Semantics and Agents Oriented Web Personalization: State of the Art

Author

Listed:
  • Aarti Singh

    (MMICT and BM, MMU, Ambala, India)

  • Anu Sharma

    (MMICT and BM, MMU, Ambala, India)

  • Nilanjan Dey

    (Department of ETCE, Jadavpur University, Kolkata, India)

Abstract

Advent of technologies like semantic web, multi-agent systems, web mining has changed the internet as knowledge provider. Web personalization offers a solution to the information overload problem in current web by providing users a personalized experience, considering their interest, behavior, context and emotions. Semantic web technology is based on use of software agents, ontologies and reasoning to add meaning to web information. An important technology for achieving personalization is the use of independent intelligent software agents. This work reviews, web personalization in the light of semantic web and software agent technology. A comparative study of recent works in the domain of web personalization has been carried out for this purpose. This review highlights ample scope for application of intelligent agents in the web personalization domain for solving many existing issues like personalized content management, user profile learning, modeling and adaptive interactions with users.

Suggested Citation

  • Aarti Singh & Anu Sharma & Nilanjan Dey, 2015. "Semantics and Agents Oriented Web Personalization: State of the Art," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 6(2), pages 35-49, April.
    • Handle: RePEc:igg:jssmet:v:6:y:2015:i:2:p:35-49
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijssmet.2015040103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jssmet:v:6:y:2015:i:2:p:35-49. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.