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

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...

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 live broadcast website through the same computer in the Internet bar in one day. Through the above method, the 10 normal users may be identified as a cheating group.

Another cheating group identification method is to identify cheating groups based on behavioral consistency. This method cannot rule out the influence of accidental consistent behavior among normal users, so the identification accuracy is not high.

Images