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A method and device for mining community domain experts

A field and expert technology, applied in natural language data processing, special data processing applications, instruments, etc., can solve the problems of neglecting the quality of published articles, inaccurate mining of community experts, and inability to judge user influence, etc., to improve mining The effect of accuracy

Active Publication Date: 2018-01-09
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] On the one hand, the existing technology can only evaluate the overall influence of the user in the network, but cannot judge the influence of the user in a specific professional field; on the other hand, the existing technology only considers the number of fans or friends of the user, Or the number of articles published and the number of comments on articles, while ignoring the quality of published articles, these lead to inaccurate mining of community domain experts

Method used

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  • A method and device for mining community domain experts
  • A method and device for mining community domain experts
  • A method and device for mining community domain experts

Examples

Experimental program
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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] The embodiment of the present invention provides a method for mining community domain experts, such as figure 1 shown, including:

[0030] 101. Obtain a keyword input by a user.

[0031] 102. Obtain the list of articles according to the subject terms.

[0032] The article list records articles with subject words, authors corresponding to each article, and user evaluation parameters of each article.

[0033] After the user enters the keyword, the serv...

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Abstract

The invention discloses a method and device for detecting community domain experts, and relates to the network field. The method and device are capable of accurately detecting the community domain exports in specific professional fields. The method for detecting the community domain experts comprises the steps that subject terms input by users are acquired; article lists are acquired according to the subject terms; articles with the subject terms, authors corresponding to all the articles and user evaluation parameters of all the articles are recorded in the article lists; statistics is performed on the hot degree and the quality of the articles according to the user evaluation parameters, and statistics is performed on the relevance between the articles and the subject terms according to the subject terms; statistics is performed on the influence of each author according to the hot degree and the quality of the articles and the relevance between the articles and the subject terms; the authors whose influence exceeds a preset influence threshold are selected as the community domain experts. The method and the device are used for detecting the community domain experts in a network.

Description

technical field [0001] The invention relates to the network field, in particular to a method and device for mining experts in a community field. Background technique [0002] In current Internet applications, many people publish articles and comments in cyberspaces such as forums, post bars, and personal spaces, or communicate in online communities in other ways. In network communication, users with great influence are called community domain experts. At present, there are three ways to find experts in the community domain: the first method is that if the number of fans or friends of a certain user reaches a certain number, the user is considered to be an expert in the domain of the online community; The user who publishes the most articles in cyberspace is considered an expert in the field of online community; the third method is that if a user’s article is reposted, commented on, and praised by many people, the user is considered an expert in the field of online community...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/95G06F40/216
Inventor 贺翔亓超王业
Owner TENCENT TECH (SHENZHEN) CO LTD
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