Building a Lifestyle Recommender System

نویسندگان

  • Supiya Ujjin
  • Peter J. Bentley
چکیده

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. Here we provide an overview of current recommender systems, and then outline a new Lifestyle Recommender System, which employs techniques such as evolutionary search and a 3D avatar to provide tailored and friendly suggestions for users.

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تاریخ انتشار 2001