An EPG Recommender Framework with Information Exchange between Users

Abstract

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.