An intelligent knowledge-based recommendation system

Abstract

An intelligent knowledge-based recommendation system for multiple users in TV-Anytime environment is developed. The architecture of the multi-agent recommendation system is described. KQC (Keyword-query combination) user profile is proposed for information modeling. The priority filtering agent operates according to the similarity between the program and the KQC user profile. This knowledge-based recommendation system can provide personalized content to users based on their preferences more efficiently and more concisely. © 2005 by International Federation for Information Processing.