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Virtual community personnel personality classification and personality conversion method based on typed knowledge graph

A technology of knowledge graph and virtual community, applied to other database clustering/classification, unstructured text data retrieval, instruments, etc., can solve the problems of insufficient generated content and low user stickiness

Inactive Publication Date: 2019-12-13
HAINAN UNIVERSITY
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a method for character classification and character conversion of virtual community personnel based on typed knowledge graphs, aiming to solve problems faced in virtual brand communities such as low user stickiness and insufficient generated content

Method used

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  • Virtual community personnel personality classification and personality conversion method based on typed knowledge graph
  • Virtual community personnel personality classification and personality conversion method based on typed knowledge graph

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Embodiment Construction

[0024] The specific process of a method for character classification and character transformation of virtual community personnel based on typed knowledge graphs is as follows:

[0025] Step 1) Build a user attribute library based on the data graph, including user attributes, attribute values, and attribute weights. The comprehensive value represents the user's personality value; the attributes, attribute values, and attribute weights can be obtained through questionnaires, data training, etc.

[0026] Step 2) Build a user behavior record library based on the information graph, including interaction records, purchase records, and Internet access records.

[0027] Step 3) Build a user type library based on the knowledge graph, including objective elements such as user habits and personality.

[0028] Step 4) Based on the user behavior record library obtained in step 2), quantitatively divide user types based on the frequency of user interaction on the network, and define the mai...

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Abstract

The invention provides a user type division and conversion method based on a data graph, an information graph and a knowledge graph. The method is characterized in that attribute modeling is performedon a user based on a data graph, an information graph and a knowledge graph. Based on a self-construction theory and a self-decision theory, user types in a virtual brand community are roughly divided, potential users are converted into active teaching material contributors, and the method aims to solve various problems, including autism, network addiction and the like, influenced by the user types.

Description

technical field [0001] The invention is a method for character classification and character transformation of virtual community personnel based on a typed knowledge map, which belongs to the intersecting field of social network and concept transformation. Background technique [0002] With the rapid development of various network technologies, especially cloud computing and edge computing, traditional marketing methods are undergoing tremendous changes, and various forms of virtual brand communities in social networks have taken advantage of this trend. Enterprises such as Starbucks, Xiaomi, Huawei, and Samsung have successively established their own virtual brand communities. The platform mechanism of two-way interaction enables enterprises not only to pay attention to the content they publish, but also eager to hear the voices of more users in the community. At the same time, the social function of the online community also provides great convenience for the communicati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/906G06F16/901G06F16/36G06Q50/00
CPCG06F16/367G06F16/9024G06F16/906G06Q50/01
Inventor 段玉聪湛楼高曹凯宋蒙蒙
Owner HAINAN UNIVERSITY
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