Research on Mobile User Behavior Mining Model Based on Big Data

被引：0
|
作者：
Hong Ruxia [1 ]
机构：
[1] Yuzhang Normal Univ, Sch Math & Comp, Nanchang 330103, Jiangxi, Peoples R China
来源：
2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019) | 2019年
关键词：
mobile user behavior model; big data; recommendation algorithm; hadoop;
D O I：
10.1109/ICMCCE48743.2019.00110
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：461 / 464
页数：4
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