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Expert recommendation method and system based on multiple data sources

A multi-data source and recommendation method technology, applied in the Internet field, can solve the problems of unreasonable sorting of expert data and low sorting accuracy, and achieve the effects of reasonable sorting of expert data, improvement of accuracy, and comprehensive recommendation results

Pending Publication Date: 2020-04-14
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

However, the existing expert recommendation based on multiple data sources also faces many problems. Under the premise that multiple databases cannot be directly merged, it is necessary to perform multi-source sorting for expert data from different data sources, while the existing multi-data source expert There are problems such as unreasonable sorting of expert data and low sorting accuracy in the recommendation system

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  • Expert recommendation method and system based on multiple data sources
  • Expert recommendation method and system based on multiple data sources
  • Expert recommendation method and system based on multiple data sources

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0035] Aiming at the problems existing in the existing expert recommendation system with multiple data sources, the embodiment of the present invention accesses multiple expert databases and uses algorithms to calculate the scores of different experts, searches according to the ranking of expert scores, and in the search process, the The same expe...

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Abstract

The embodiment of the invention provides an expert recommendation method and system based on multiple data sources. The method comprises the steps of obtaining expert data of multiple data sources, and enabling the expert data to comprise an expert name field and an expert affiliated institution field; and adding a score field to each piece of expert data, and sorting the expert data from high tolow according to numerical values corresponding to the score fields, so as to obtain an expert recommendation result according to the sorted expert data. According to the embodiment of the invention,the score field is added to expert data from multiple data sources; the expert data are sorted according to the numerical value corresponding to the score field, so that the expert data sorting basedon multiple data sources is more reasonable; the accuracy of expert data sorting is improved; and subsequent expert recommendation results are more comprehensive.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an expert recommendation method and system based on multiple data sources. Background technique [0002] Expert recommendation is a very important function in academic search, which can be applied in different situations, for example, enterprise expert docking, academic review or academic exchange, etc. Therefore, expert recommendation needs to have an efficient and accurate expert recommendation algorithm to build a stable and Reliable expert recommendation system. At present, expert recommendation based on a single data source is limited by a single data source, resulting in the effect of expert recommendation being closely related to the quality of the data source. When the data source is incomplete, the effect of expert recommendation is poor. In addition, the expert recommendation of a single data source , often face the problem of low data coverage and low integrity, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9538G06F16/38
CPCG06F16/9535G06F16/9538G06F16/382
Inventor 张永锋谭新宇李振华
Owner TSINGHUA UNIV
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