Abstract

With the development of mobile Internet, the research of mobile user behavior based on big data has become one of the hotspots in the field of mobile Internet. Based on the analysis of the characteristics of mobile user's big data and Hadoop system, an analysis model of mobile user's behavior pattern based on big data is constructed, it includes data acquisition module, data preprocessing module, user behavior analysis module, application of mobile user behavior model and data visualization module, and the function of each module is explained in detail. Recommendation algorithm based on user behavior analysis is discussed at last.

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