An EPG Recommender Framework with Information Exchange between Users

Due to the proliferation of the IPTV market and content providers, Electronic programming guide (EPG) list provided for the consumers becomes enormous. Therefore, EPG recommender systems are proposed to make IPTV users more familiar with the programs. To obtain better EPG service, there is a need for the users to communicate with other users. A novel EPG recommender framework with information exchange between users is proposed. The framework provides an EPG recommender engine and an approach to exchanging EPG recommender list between users.

[1]  Jingbo Zhu,et al.  Implementing a SIP-based Device Communication Middleware for OSGi Framework with Extension to Wireless Networks , 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

[2]  K. Nosu,et al.  Development of management system for electric referral documents and healthcare information exchanging based on standardization protocols , 2008, 2008 7th Asia-Pacific Symposium on Information and Telecommunication Technologies.

[3]  Jens-Rainer Ohm,et al.  Customized television: standards compliant advanced digital television , 2002, IEEE Trans. Broadcast..

[4]  Tomohiro Tsunoda,et al.  Automatic metadata expansion and indirect collaborative filtering for TV program recommendation system , 2006, Multimedia Tools and Applications.

[5]  Masao Mukaidono,et al.  Conceptual matching and its applications to selection of TV programs and BGMs , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[6]  Khalil Drira,et al.  A layered design model for knowledge and information sharing cooperative systems , 2001, Proceedings Tenth IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises. WET ICE 2001.

[7]  Jingbo Zhu,et al.  Content Classification and Recommendation Techniques for Viewing Electronic Programming Guide on a Portable Device , 2007, Int. J. Pattern Recognit. Artif. Intell..

[8]  Fabio Bellifemine,et al.  User Modeling and Recommendation Techniques for Personalized Electronic Program Guides , 2004, Personalized Digital Television.

[9]  José Juan Pazos-Arias,et al.  AVATAR: an improved solution for personalized TV based on semantic inference , 2006, IEEE Transactions on Consumer Electronics.

[10]  Noriyoshi Uratani,et al.  Development and features of a TV navigation system , 2003, IEEE Trans. Consumer Electron..