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Method, device and storage medium for managing online behavior of network users

A network user and management method technology, applied in the field of Internet behavior management methods, devices and storage media, can solve the problems of not considering the relationship between individual Internet behaviors and not being comprehensive enough, and achieve the effect of high efficiency and improved accuracy

Active Publication Date: 2021-01-12
CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In this way, since the correlation between the individual online behaviors of network users is not considered, it is not comprehensive enough to judge whether two network users are similar by using the similarity value of the online behaviors of two network users in related technologies.

Method used

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  • Method, device and storage medium for managing online behavior of network users
  • Method, device and storage medium for managing online behavior of network users
  • Method, device and storage medium for managing online behavior of network users

Examples

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no. 1 example

[0043] In the first embodiment of the present invention, a method for managing online behavior of network users, such as figure 1 As shown, the method specifically includes the following steps:

[0044] Step S101: Obtain all online behaviors of network users, and set corresponding nodes for each type of online behaviors.

[0045] Specifically, corresponding to the social behavior of human beings in the real society, online behavior is the behavior of network users in the virtual space of the network. For example, a series of click operations, download operations, and input operations performed by a network user during the surfing process.

[0046] When all the online behaviors of the network users are obtained, all the online behaviors of the network users are classified to obtain different types of online behaviors. Preferably, surfing behaviors can be classified according to website type or application type. Of course, surfing behaviors may also be classified according to...

no. 2 example

[0055] In the second embodiment of the present invention, a method for managing online behavior of network users, such as figure 2 As shown, the method specifically includes the following steps:

[0056] Step S201: Obtain all online behaviors of network users, and set corresponding nodes for each type of online behaviors.

[0057] Specifically, corresponding to the social behavior of human beings in the real society, online behavior is the behavior of network users in the virtual space of the network. For example, a series of click operations, download operations, and input operations performed by a network user during the surfing process.

[0058] When all the online behaviors of the network users are obtained, all the online behaviors of the network users are classified to obtain different types of online behaviors. Preferably, surfing behaviors can be classified according to website type or application type. Of course, surfing behaviors may also be classified according ...

no. 3 example

[0083] In the third embodiment of the present invention, a device for managing online behavior of network users, such as Figure 4 As shown, the device specifically includes: a processor 401, a memory 402, and a communication bus;

[0084] The communication bus is used to realize connection and communication between the processor 401 and the memory 402;

[0085] The processor 401 is used to execute the management program of the online behavior of the network user stored in the memory 402, so as to realize the following steps:

[0086] Obtain all online behaviors of network users, and set corresponding nodes for each type of online behavior;

[0087] Two nodes corresponding to two adjacent online behaviors triggered by network users are connected through an edge, and a weight value is set for the edge between the two nodes according to the total number of interactions between the two adjacent online behaviors;

[0088] Based on each node and the edges with weight values ​​bet...

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Abstract

The present invention introduces a method, device and storage medium for managing online behaviors of network users. The method includes: obtaining all online behaviors of network users, and setting corresponding nodes for each type of online behaviors; The two nodes corresponding to the two adjacent online behaviors triggered by the user, and set the weight value for the edge between the two nodes according to the total number of interactions between the two adjacent online behaviors; based on each node and each node The edges with weight values ​​are used to establish an individual online behavior network corresponding to network users. Since the present invention considers the correlation between individual online behaviors of network users, it is more comprehensive when judging the similarity between multiple network users, and improves the accuracy of user similarity measurement.

Description

technical field [0001] The invention relates to the technical field of network user behavior, in particular to a management method, device and storage medium for network user's online behavior. Background technique [0002] In related technologies, measuring the online behavior similarity value of two network users is to directly compare the online behavior of two network users, for example, by judging whether the two network users have common friends, whether they have watched the same movie, whether they have purchased same commodity etc. However, there are many types of individual online behaviors of a network user, and there are a large number of them. There is also a certain correlation between multiple online behaviors of a network user. [0003] In this way, since the correlation between individual online behaviors of network users is not considered, it is not comprehensive enough to judge whether two network users are similar by using the similarity value of online...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06G06K9/62
CPCH04L63/302G06F16/9535G06F18/22
Inventor 姜雅文郭静王丹辉王辰李博文孙昊袁苏文李鑫
Owner CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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