IDEAS home Printed from https://ideas.repec.org/a/igg/japuc0/v4y2012i2p48-64.html
   My bibliography  Save this article

Rough Set Theory Based User Aware TV Program and Settings Recommender

Author

Listed:
  • Thyagaraju G.S.

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

  • U.P. Kulkarni

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

Abstract

In this paper the authors are proposing a design of TV program and settings recommendation engine utilizing contextual parameters like personal, social, temporal, mood, and activity. In addition to the contextual parameters the system utilizes the explicit or implicit user ratings and watching history to resolve the conflict if any while recommending the services. The System is implemented exploiting AI techniques like fuzzy logic and Rough Sets Based Decision Rules. The motivation behind the proposed work is i) to improve the user’s satisfaction level and ii) to improve the social relationship between user and TV. The context aware recommender utilizes social context data as an additional input to the recommendation task alongside information of users and TV programs. They have analyzed the recommendation process and performed a subjective test to show the usefulness of the proposed system for small families.

Suggested Citation

  • Thyagaraju G.S. & U.P. Kulkarni, 2012. "Rough Set Theory Based User Aware TV Program and Settings Recommender," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 4(2), pages 48-64, April.
    • Handle: RePEc:igg:japuc0:v:4:y:2012:i:2:p:48-64
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/japuc.2012040105
    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:japuc0:v:4:y:2012:i:2:p:48-64. 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.