Expert recommendation method based on language model

A language model and recommendation method technology, applied in the Internet field, can solve problems such as low efficiency, concealing expert user performance, and experts not being marked by the community, so as to achieve the effect of increasing timeliness, correct rate and answering rate

Inactive Publication Date: 2012-06-13
PEKING UNIV
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AI Technical Summary

Problems solved by technology

[0004] However, experts have not marked out a lot in the community
In travel forums such as Tripadvisor, Kuxun and Qunar, some network administrators will make judgments on a large number of replies to identify experts. Although experts identified by manual identification have a high success rate, the efficiency is very low
Baidu Knows, Yahoo Knowledge Hall and other domestic websites are ranked by points, and points mostly depend on the number of questions answered and the degree of activity, which cannot be used as the only basis for experts to judge
Especially for users with low-quality answers, it is likely that the number and activity of the answers will occupy a great advantage, which may cover up the performance of real expert users

Method used

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  • Expert recommendation method based on language model
  • Expert recommendation method based on language model
  • Expert recommendation method based on language model

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Embodiment Construction

[0034] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples serve to illustrate the present invention, but do not limit the scope of the present invention.

[0035] The structural flow chart of the expert recommendation method based on language model described in the present invention is as follows figure 1 As shown, the dotted box indicates the algorithm model, and the solid box indicates the data. Flowcharts run from top to bottom and left to right. The upper part is static and can be established in advance; the lower part is dynamic and needs to be calculated in real time according to user input. The present invention includes the steps: S1: collect the published content of the user to represent the knowledge characteristics of the corresponding user, use the language model in text retrieval to carry out probability-based text modeling on...

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Abstract

The invention discloses an expert recommendation method based on a language model. The expert recommendation method includes steps of S1, collecting published content of users to representing knowledge features of the corresponding users, realizing probability-based text modeling for the knowledge features of the users by the aid of the language model in text retrieval, and arranging expert validity indexes of the users in a built model; S2, building a user relationship model among the users, realizing user relationship graphs in the user relationship model, and generating mutual influence ofthe users by the aid of expert validity of the users; S3, computing original expert validity according to expert validity retrieval information of each user when an inquiry is given, and generating an original user sorted list; and S4, adjusting the expert validity of each user according to interaction among the user relationship graphs, and obtaining a final user sorted list.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an expert recommendation method based on a language model. Background technique [0002] Expert recommendation refers to the process of modeling its authority and specialty fields from a batch of candidate users, and recommending matching expert users under a given query request. , There are a lot of useful but untapped information in the massive information accumulation, and there are also problems that need to be solved urgently, because there is no suitable time to become a dead corner of information that does not circulate. The purpose of expert recommendation is to change the direction of information transmission from a single search to a two-way communication, which can provide an effective information push mechanism, thereby speeding up the effective circulation of network information. As an important branch of user management, previous expert recommendation methods ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 崔斌姚俊杰阴红志刘晴芸
Owner PEKING UNIV
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