AN INTELLIGENT RECOMMENDATION SYSTEM BASED ON FUZZY LOGIC
Shi Xiao-wei · Kluwer Academic Publishers eBooks · 2006
An intelligent recommendation system for a plurality of users based on fuzzy logic is presented. The architecture of a multi-agent recommendation system is described. How the system simulates human intelligence to provide recommendation to users is explained. The recommendation system is based on the fuzzy user profile, fuzzy filtering and recommendation agents. The user profile is updated dynamically based on the feedback information. Fuzzy logic is used in fuzzy filtering to integrate different types of features together for a better simulation of human intelligence. Ambiguity problems can be solved successfully in this system, e.g., deducing whether a programme with both interesting features and uninteresting features is worth recommending or not. The application scenario shows that it is more convenient for users to find programmes of their interest with the proposed recommendation system.