Abstract

With the improvement of Internet technique, network resources are also growing rapidly. The abundance of message makes the Internet a vital source for people to obtain message. However, while people are enjoying the convenience brought by message technique, how to accurately express the demand for online resources and how to accurately and result fully search for resources has become a major question faced by network users. Personalized recommendation system is one of the resultful means to solve this question. It has always been the dream of artificial intelligence scientists to make computers understand human emotions. Physiological signal emotion recognition is an interdisciplinary study of computer sensing technique and pattern recognition with broad application prospects. Based on the system engineering means, the data mining clustering means can be used to make a detailed analysis and study on university students' psychology health. The study of this paper shows that the algorithm of this paper is 17% better than the current psychological crisis prevention, and it is suitable for being widely used in practice.

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