IDEAS home Printed from https://ideas.repec.org/a/igg/japuc0/v4y2012i4p28-51.html
   My bibliography  Save this article

Design of Context Aware Recommendation Engine for Cell Phone using Bayesian Network, Fuzzy Logic, and Rough Set Theory

Author

Listed:
  • Thyagaraju G. S.

    (Sri Dharmasthala Manjunatheshwara College of Engineering and Technology Research Centre, Visveswaraiah Technological University, Belgaum, India)

  • U. P. Kulkarni

    (Sri Dharmasthala Manjunatheshwara College of Engineering and Technology Research Centre, Visveswaraiah Technological University, Belgaum, India)

Abstract

In this paper the authors have presented design and implementation of context aware service recommendation engine for cell phone. Context aware service recommendation engine for mobile is designed to automatically adopt its behavior to changing environment. To achieve this, an important issue to be addressed is how to effectively select services for adaptation according to the user’s current context. In this paper, the authors propose an intelligent service recommendation model. They formulate the service adaptation process by using artificial intelligence techniques like Bayesian Network, fuzzy logic and rough sets based decision table. Bayesian Network to classify the incoming call (high priority call, low priority call and unknown calls), fuzzy linguistic variables and membership degrees to define the context situations, the decision rules for adopting the policies of implementing a service.

Suggested Citation

  • Thyagaraju G. S. & U. P. Kulkarni, 2012. "Design of Context Aware Recommendation Engine for Cell Phone using Bayesian Network, Fuzzy Logic, and Rough Set Theory," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 4(4), pages 28-51, October.
    • Handle: RePEc:igg:japuc0:v:4:y:2012:i:4:p:28-51
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/japuc.2012100105
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiayin Qi & Chao Zhu & Yanwu Yang, 2014. "Recommendations based on Social Relationships in Mobile Services," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 424-436, May.

    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:japuc0:v:4:y:2012:i:4:p:28-51. 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.