USING EVOLUTION TO LEARN USER PREFERENCES

摘要

Recommender systems are new types of internet-based software tools, designed to help users find their way through today's complex on-line shops and entertainment websites. This chapter describes a new recommender system, which employs a genetic algorithm to learn personal preferences of users and provide tailored suggestions.