Abstract:

Because of the diversity of their environment, people tend to require for more personalized services which has become an important subject in information age. In order to achieve the purpose of the recommendation, personalized service collects and analyzes user interests and behaviors. In this paper, we present an implementation case of financial services called easy golf. Through easy golf, users can easily order discount information to meet their own demands. They can also make reasonable financial plan according to the optimal suggestions provided by the system.

Key words: personalized services；user model；information retrieval；collective intelligence