IPTV Contents Recommender System Based on a Social Network

  • Mucheol Kim
  • Sangyong Han
  • Jaesoo Kim
  • Kiseok Choi
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 181)

Abstract

This paper presents a recommender system that employs well-known Web 2.0 technologies, the social network analysis and the social tagging technique, in order to generate customized recommendations of media content for IPTV users.

Keywords

Social Network Recommender System IPTV Collaborative Filtering 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Langville, A., Meyer, C.: Google’s PageRank and Beyond: The Science of Search Engine Ranking. Princeton University Press (2006)Google Scholar
  2. 2.
    Golbeck, J., Rothstein, M.: Linking Social Networks on the Web with FOAF:A Semantic Web Case Study. In: Proceedings of the AAAI 2008, Chicago, USA, pp. 1138–1143 (July 2008)Google Scholar
  3. 3.
    Kim, H., Lee, Y., Neve, W., Ro, Y.: Home Video Management System with Semantic Information. In: Proceedings of the ICCE 2009, Las Vegas USA, pp. 1–2 (January 2009); Staab, S.: Social network applied. IEEE Intelligent System 20, 80–93 (2005)Google Scholar
  4. 4.
    Bahn, H., Baek, Y.: An Intelligent Channel Navigation Scheme for DTV Channel Selectors. IEEE Transactions on Consumer Electronics 54(3), 1098–1102 (2008); Ma, H., et al.: Learning to Recommend with Social Trust Ensemble. In: SIGIR 2009 (2009)CrossRefGoogle Scholar
  5. 5.
    Fernandez, Y., Arias, J., Nores, M., Solla, A., Cabrer, M.: AVATAR: An Improved Solution for Personalized TV based on Semantic Inference. IEEE Transactions on Consumer Electronics 52(1), 223–231 (2006)Google Scholar
  6. 6.
    Kim, M., Seo, J., Noh, S., Han, S.: Identity management-based social trust model for mediating information sharing and privacy enhancement. In: Security and Communication Networks (2011) (published online)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Mucheol Kim
    • 1
  • Sangyong Han
    • 2
  • Jaesoo Kim
    • 1
  • Kiseok Choi
    • 1
  1. 1.NTIS CenterKorea Institute of Science and Technology InformationDaejeonKorea
  2. 2.School of Computer Science and EngineeringChung-Ang UniversitySeoulKorea

Personalised recommendations