Author(s)

Meng Xianglei

Corresponding Author

Meng Xianglei

Abstract

In order to describe the user's needs of personalized preference and optimize recommendation effect of service, a model of user preference analysis and service recommendation based on service reputation evaluation is proposed. Service-oriented consumer behavior analysis and recommendation model research, taking the multi-dimensional reputation index of service as the analysis object, can be compatible with various forms of service reputation evaluation. The rationality and effectiveness of the model is verified by comparing and analyzing the experiment results of actual service data.

Keywords

Reputation evaluation, user preference, utility prediction, personalization