User portrait grouping method and device
A portrait, user technology, applied in the field of data analysis, can solve the problems of unstable user portrait grouping results and high dependence
Active Publication Date: 2021-01-22
NEUSOFT CORP
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Problems solved by technology
The current user portrait grouping method is very dependent on parameters. For example, the K-means algorithm is very dependent on the value of k and the vector selection of the initial center, which makes the result of user portrait grouping unstable.
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[0045] The specific implementation manners of the embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation manners described here are only used to illustrate and explain the embodiments of the present disclosure, and are not intended to limit the embodiments of the present disclosure.
[0046] According to an embodiment of the present disclosure, a user portrait grouping method is provided, such as figure 1 As shown, the method may include the following steps S101 to S104.
[0047] In step S101, a label network G(V, E) is constructed based on the label of each user portrait, where V represents a set of vertices in the label network, each vertex represents a user portrait, and E represents a set of vertices in the label network. A set of edges, each edge represents a connection between two vertices corresponding to two user profiles with at least one common la...
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Embodiments of the present disclosure relate to a user portrait grouping method and device, relate to the field of data analysis, and can make user portrait grouping more stable and accurate. The method includes: constructing a label network G(V, E) based on the label of each user portrait, wherein V represents a set of vertices in the label network, each vertex represents a user portrait, E represents a set of edges in the label network, and each An edge represents a connection between two vertices corresponding to two user portraits with at least one common label; a line graph network G'(V',E',W') is constructed based on the label network, where V' represents a line graph The set of vertices in the network, each vertex represents an edge in the label network, E' represents the set of edges in the line graph network, each edge represents the two edges in the line graph network corresponding to the common vertices in the label network The connection between two vertices, W' represents the set of weights of the edges in the line graph network; the vertices in the line graph network are divided into communities; the community division results are converted into user portrait grouping results.
Description
technical field [0001] Embodiments of the present disclosure relate to the field of data analysis, and in particular, to a method and device for grouping user portraits. Background technique [0002] The biggest change of user portrait grouping to the network marketing environment is that it breaks the data silos and truly understands users, and can associate and group individual users in social networks. The current user portrait grouping method is very dependent on parameters. For example, the K-means algorithm is very dependent on the value of k and the vector selection of the initial center, which makes the result of user portrait grouping unstable. Contents of the invention [0003] The purpose of the embodiments of the present disclosure is to provide a user portrait grouping method and device, which can obtain a stable user portrait grouping result. [0004] In order to achieve the above purpose, an embodiment of the present disclosure provides a user portrait grou...
Claims
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IPC IPC(8): G06K9/62G06Q50/00
CPCG06Q50/01G06F18/23213G06F18/24
Inventor 王阳
Owner NEUSOFT CORP