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User community evaluation method, device and equipment

An evaluation method, user's technology, applied in the computer field

Active Publication Date: 2020-10-16
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The mining method of the user community of malicious comments can usually be composed according to the medium relationship between user accounts, and then, such as Louvain algorithm, I-Louvain algorithm, FRAUDAR algorithm, LPA algorithm or InfoMap algorithm can be used to socialize different users. Group division, however, in the above-mentioned way, black and gray production accounts carry out risk confrontation, and there is no media relationship between many accounts, so the scope of application is relatively limited. Therefore, it is necessary to provide a better user community mining scheme, so that the malicious comment community in the user community can be quickly and accurately mined

Method used

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  • User community evaluation method, device and equipment
  • User community evaluation method, device and equipment
  • User community evaluation method, device and equipment

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Experimental program
Comparison scheme
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Embodiment 1

[0019] Such as figure 1 As shown, the embodiment of this specification provides a user community evaluation method, the execution body of the method can be a terminal device or a server, where the server can be an independent server, or a server composed of multiple servers A cluster, etc., the server may be a background server such as a financial business or an online shopping business, or a background server of an application program. The terminal device may be a mobile terminal device such as a mobile phone or a tablet computer, and may also be a device such as a personal computer. In this embodiment of the specification, a server is used as an example for detailed description. For the case of a terminal device, reference may be made to the following relevant content, and details will not be repeated here. This method can be applied to the application system with comment system. The method specifically may include the following steps:

[0020] In step S102, review inform...

Embodiment 2

[0041] Such as image 3 As shown, the embodiment of this specification provides a user community evaluation method, the execution body of the method can be a terminal device or a server, where the server can be an independent server, or a server composed of multiple servers A cluster, etc., the server may be a background server such as a financial business or an online shopping business, or a background server of an application program. The terminal device may be a mobile terminal device such as a mobile phone or a tablet computer, and may also be a device such as a personal computer. In this embodiment of the specification, a server is used as an example for detailed description. For the case of a terminal device, reference may be made to the following relevant content, and details will not be repeated here. This method can be applied to the application system with comment system. The method specifically may include the following steps:

[0042] In step S302, review inform...

Embodiment 3

[0087] The above is the user community evaluation method provided by the embodiment of this specification. Based on the same idea, the embodiment of this specification also provides a user community evaluation device, such as Figure 4 shown.

[0088] The evaluation device of the user community includes: a comment information acquisition module 401, a bipartite graph framework module 402, a graph embedding module 403, a clustering module 404 and a user community evaluation module 405, wherein:

[0089] The comment information acquisition module 401 is used to acquire comment information on merchants from multiple different users;

[0090] The bipartite graph construction module 402 constructs a bipartite graph between the user and the merchant based on the comment information of the plurality of different users on the merchant, wherein the nodes in the bipartite graph are determined based on the user and the merchant, and the bipartite graph is determined based on the user and...

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Abstract

An embodiment of the invention discloses a user community evaluation method, device and equipment. The method comprises the steps of obtaining comment information of a plurality of different users formerchants; constructing a bipartite graph between the users and the merchants on the basis of the comment information of the different users to the merchants, wherein nodes in the bipartite graph aredetermined on the basis of the users and the merchants, and side lines in the bipartite graph are determined on the basis of the comment information of the users to the merchants; based on the information of the plurality of different users, the information of the corresponding merchants and the bipartite graph between the users and the merchants, carrying out the graph embedding Graph Embedded processing to obtain Embedding features of the plurality of different users; clustering the plurality of different users based on the Embedding features of the plurality of different users to obtain aclustered user community; and for each clustered user community, determining whether the clustered user community is a malicious comment community based on the comment information of the users in theclustered user community for the merchants.

Description

technical field [0001] This specification relates to the field of computer technology, and in particular to a user community evaluation method, device and equipment. Background technique [0002] With the rise of digital life, black and gray products on the Internet are becoming more and more rampant, mainly reflected in the grouping of black and gray products, such as malicious comments or evaluations of a product of a certain merchant, for example, user comments contain information related to gambling or Bad information such as information promotion. If the above-mentioned risk prevention and control is carried out only from the content dimension of comment information, since comment information is information subjectively input by users, there are prevention and control difficulties such as fast deformation and fast confrontation in comment information, and it is difficult to identify malicious comment information in a timely manner. Therefore, it is necessary to Crackdo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06Q30/06G06Q50/00
CPCG06F16/355G06Q30/0623G06Q30/0639G06Q50/01G06F2216/03
Inventor 陈永环侯辉超张正雄
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD