Research on User Behavioral Intention Based on Telecommunication Data

This paper introduces a scheme of user behavior intention research based on communication data. This paper first expounds the user behavior information contained in the communication data and gives the general idea of the user behavior intention prediction in this study. The data sample preparation part covers four types of core factor tables, including travel chain information, user concern information, user portrait and scene subdivision, among which the flow chart of user activity chain list is highlighted. Secondly, this paper introduces the probability calculation model of user behavior intention based on the information of data preparation part, and the method of predicting user behavior intention based on KNN classification algorithm. Finally, the effect of the analysis scheme is obtained based on the sample data, and the effect of the prediction performance is analyzed under the characteristic factors and specific scenarios.

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