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User group clustering method based on usage behavior of mobile application

A mobile application, clustering method technology, applied in data processing applications, marketing, instruments, etc., to achieve the effect of simple calculation

Active Publication Date: 2018-02-16
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously these methods are not suitable for mobile application traffic with huge amount of data

Method used

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  • User group clustering method based on usage behavior of mobile application
  • User group clustering method based on usage behavior of mobile application
  • User group clustering method based on usage behavior of mobile application

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Embodiment Construction

[0046] The following is a detailed description of the embodiments of the present invention, examples of which are shown in the drawings, wherein the same or similar reference numerals represent the same or similar meanings throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0047] figure 1 is a schematic diagram of the method of the present invention. As shown in the figure, the present invention provides a schematic diagram of a mobile phone user grouping and clustering method based on application usage behavior mining. Firstly, for a communication operator, extract user characteristic information and user application usage behavior information, and construct a mobile phone user application usage behavior analysis system; then use the attributes in the system to define mobile phone user application preferences, and then obtain mobile ph...

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Abstract

The present invention proposes a user group clustering method based on the usage behavior of the mobile application, and combines the SOM and the Kmeans clustering algorithm for the grouping of mobilehandset users. The method comprises: constructing an applicable behavior analysis system of mobile users and mobile applications; and combining the SOM and Kmeans methods to analyze the online behavior of the mobile application of the user so as to achieve the purpose of grouping mobile handset users. According to the method provided by the present invention, by using SOM-Kmeans two-stage clusteranalysis, the advantages that the SOM algorithm is simple and inclusive and the Kmeans algorithm is less demanding on the number of data sets are integrated, and the long training time of the SOM algorithm is made up for, and the shortcoming that the initial value K of the Kmeans algorithm is difficult to determine is solved; and in the mobile handset user clustering by taking the preference matrix of the mobile handset user as the analysis data, a better segmentation result can be obtained in a shorter time.

Description

technical field [0001] The invention relates to the field of mining online behaviors of mobile phone users, in particular to a user grouping and clustering method based on mobile application usage behaviors. Background technique [0002] With the wide application of the Internet, especially the rapid development of the mobile Internet and smart terminals, people's lives are being digitalized faster and faster. With the emergence of various mobile application mobile phones, mobile phone applications are increasingly relied on by mobile users. While bringing convenience to people's communication, the amount of data transmitted by people using communication networks has also exploded. Faced with the continuous growth of mobile phone users and the large amount of data generated by mobile phones, the entire communication operation industry is under severe pressure, and mobile operators are facing the challenge of being robbed of the added value of data flow by Internet companies....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q30/02G06Q50/30
CPCG06Q30/0201G06F18/23213G06Q50/40
Inventor 马创张令浩徐光侠刘俊胡梦潇
Owner CHONGQING UNIV OF POSTS & TELECOMM