Method of expert combination recommendation based on knowledge map

A knowledge map and recommendation method technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of consuming human resources, failing to meet the recommendation accuracy of expert groups, and the recommendation effect is not impressive, and achieve efficiency improvement Effect

Inactive Publication Date: 2018-12-21
HUAIYIN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

[0016] Some traditional project-oriented expert group recommendation algorithms are manually selected, and some are only recommended according to the project and recommended objects. The artificial recommendation method consumes human resources and has a certain one-sidedness in the recommendation, so it cannot analyze the project and recommendation. Recommend the relationship between objects and mak

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  • Method of expert combination recommendation based on knowledge map
  • Method of expert combination recommendation based on knowledge map
  • Method of expert combination recommendation based on knowledge map

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Embodiment Construction

[0067] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0068] Such as Figure 1-4 As shown, a kind of knowledge graph-based expert combination recommendation method described in the present invention includes the following steps:

[0069] Step 1: Carry out association mining on the data set of the expert combination participating in the comprehensive project, and establish a set of frequent items of experts and a set of confidence between experts, specifically as figure 2 Shown:

[0070] Step 1.1: Define GP as the comprehensive project expert parti...

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Abstract

The invention discloses an expert combination recommendation method based on a knowledge map. The invention is mainly based on a constructed domain knowledge map, and combines a similarity idea and anassociation mining. The method comprises: to process the history expert review data, first using the FP-Growth to obtain probabilistic logic data to make knowledge map, and then eliminating the differences through similarity algorithm, extracting the similar items with the recommended content, and then extracting experts and combining them according to the rules, and designing an excellent methodto evaluate the combinations by frequent items and confidence according to the relational knowledge. The method of the invention effectively recommends a combination of graph auditing experts with the highest score, which improves the cooperative examination efficiency of the experts and increases the use value of the data of the historical item examination expert set.

Description

technical field [0001] The invention belongs to the technical field of recommendation algorithms and knowledge graphs, in particular to an expert combination recommendation method based on knowledge graphs. Background technique [0002] The expert combination recommendation algorithm in the present invention has an important function and significance for project-oriented expert group recommendation. When faced with the problem of recommending a combination in the recommendation system, researchers will choose to integrate it into the group recommendation system based on some group clustering, similarity, classification analysis, etc., or through user scoring matrix, semantic analysis and other technologies. How to explore the correlation between groups and projects, and the potential relationship between group individuals, so as to provide valuable relational knowledge for group recommendation, and optimize the group recommendation algorithm to provide efficient knowledge se...

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F18/21
Inventor 朱全银于柿民胡荣林冯万利周泓
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
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