User group identification method and device, electronic equipment and storage medium

An identification method and user technology, which is applied in the computer field, can solve problems such as misidentification, low identification accuracy, and the inability to rule out the influence of normal users' accidental consistent behavior, so as to avoid the influence of noise data and improve the recognition accuracy.

Active Publication Date: 2019-08-27
WUHAN DOUYU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] A cheating group identification method commonly used at present is to establish a user relationship graph based on the relationship between users, and determine the cheating group through graph calculation. This method completely relies on the topological relationship between users, so once there is noise data, It is very easy to cause misidentification. For example, 10 normal users log in to the li

Method used

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  • User group identification method and device, electronic equipment and storage medium
  • User group identification method and device, electronic equipment and storage medium
  • User group identification method and device, electronic equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0026] figure 1 It is a schematic flowchart of a user community identification method provided in Embodiment 1 of the present invention. The user group identification method disclosed in this embodiment can be applied to identify user groups engaged in online cheating behaviors, for example, to identify user groups who perform online cheating behaviors such as barrage and attention in the live broadcast room, which can be identified by user groups device, wherein the device may be implemented by software and / or hardware, and generally integrated into a terminal, such as a smart phone or a computer. For details, see figure 1 As shown, the method includes the following steps:

[0027] Step 110, constructing a user relationship graph according to the user's specific online behavior.

[0028] Wherein, the specific online behavior may specifically be a positive behavior worth advocating, such as online donation, or a negative behavior that needs to be resisted, such as the behav...

Embodiment 2

[0053] image 3 It is a schematic flowchart of a user group identification method provided by Embodiment 2 of the present invention. On the basis of the above embodiments, this embodiment performs step 120 "based on the number of times a user has a specific online behavior within a set period of time, calculate the The behavior similarity between every two users in the above user relationship diagram" and the step "according to the number of terminal devices and the number of Internet protocol IP addresses used by users when performing online behaviors, respectively calculate the confidence that each user group to be identified is the target user group Degree" gives the specific implementation, see image 3 As shown, the method includes:

[0054] Step 310, constructing a user relationship graph according to the user's specific online behavior.

[0055] Step 320 : Calculate the behavior similarity between every two users in the user relationship graph based on the number of t...

Embodiment 3

[0088] Figure 4 It is a schematic structural diagram of a user community identification device provided by Embodiment 3 of the present invention. see Figure 4 As shown, the device includes: a construction module 410, a calculation module 420, a cropping module 430 and an identification module 440;

[0089] Among them, the construction module 410 is used to construct a user relationship graph according to the user's specific online behavior; the calculation module 420 is used to calculate the number of times that the user has a specific online behavior within a set period of time, and calculate every two times in the user relationship graph. Behavioral similarity between users; clipping module 430, configured to clip the user relationship graph according to the behavioral similarity, so as to delete associations between users whose behavioral similarity is lower than a set threshold; identification module 440 , which is used to identify the target user group based on the ta...

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Abstract

The embodiment of the invention discloses a user group identification method and device, electronic equipment and a storage medium. The method comprises the following steps: constructing a user relation graph according to a specific online behavior of a user; calculating the behavior similarity between every two users in the user relationship diagram based on the number of times that the users have specific online behaviors in a set time period; cutting the user relationship graph according to the behavior similarity so as to delete an association relationship between users whose behavior similarity is lower than a set threshold; and identifying the target user group on the basis of the clipped user relationship diagram according to the number of terminal devices used by the user during the online behavior and the number of Internet protocol IP addresses. By adopting the technical scheme, the identification precision of the target user group is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of computers, and in particular, to a user group identification method, device, electronic equipment, and storage medium. Background technique [0002] On the live broadcasting website, in order to obtain benefits, there are generally some cheating behaviors such as swiping barrage, swiping attention, and swiping popularity. Most of the cheating behaviors based on the platform (such as live broadcasting websites) are of gang nature, and the above-mentioned cheating behaviors will also cause problems such as network congestion and excessive pressure on the live broadcast platform server, which has a great impact on the live broadcast ecological environment of the platform. Therefore, in order to reduce the negative impact of the above-mentioned cheating behaviors, it is of great significance to use reasonable methods to find user groups suspected of cheating, and to take appropriate measures t...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L29/08H04L12/26G06F16/906
CPCH04L63/1441H04L43/16H04L43/10G06F16/906H04L67/535
Inventor 王璐
Owner WUHAN DOUYU NETWORK TECH CO LTD
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