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Position recommendation system based on knowledge base

A recommendation system and knowledge base technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of recommendation systems without user and job information, and achieve the effect of accurate job recommendation

Inactive Publication Date: 2015-08-12
合肥拓谷信息科技有限公司
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AI Technical Summary

Problems solved by technology

[0013] At present, there is no recommender system that fully mines user and job information in the prior art

Method used

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  • Position recommendation system based on knowledge base
  • Position recommendation system based on knowledge base
  • Position recommendation system based on knowledge base

Examples

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Embodiment Construction

[0055] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0056] Such as figure 1 As shown, a job recommendation system based on knowledge base, including human resources proprietary knowledge base building module, talent information crawling module, information extraction, fusion, comparison module and job recommendation module;

[0057] The human resources proprietary knowledge base construction module builds a human resources proprietary knowledge base by crawling and entity analysis of human resources related knowledge;

[0058] The talent information crawling module crawls talent resumes, social media participation, user behavior, and job-seeking intentions on human resources-related websites (or kn...

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Abstract

The invention discloses a position recommendation system based on a knowledge base. The position recommendation system based on the knowledge base comprises a human resource proprietary knowledge base construction module, a talent information crawling module, an information extraction, fusion and comparison module and a position recommendation module, wherein the human resource proprietary knowledge base construction module is used for constructing a proprietary knowledge base relevant to human resources; the talent information crawling module is used for crawling and integrating personal information related to an applicant; the information extraction, fusion and comparison module is used for analyzing and processing data obtained by fetching and is used for mapping and comparing talent requirements and positions so as to carry out modeling analysis on user demands; and the position recommendation module is used for carrying out position query on a user to be recommended and carrying out recommendation according to relevancy, interest and the information of a circle of friends. The proprietary knowledge base is established by aiming at a specific field, i.e. the human resources, and the knowledge base is effectively utilized to realize on-line precise position recommendation for users.

Description

technical field [0001] The invention relates to the application field of human resources, in particular to a position recommendation system based on a knowledge base. Background technique [0002] Today's era is the era of data, and now big data analysis has produced a wide range of applications and far-reaching impacts in all walks of life. Enterprise-based big data analysis has played a role in a series of links such as procurement, production, logistics, and marketing, optimizing enterprise processes and saving enterprise costs. As we all know, people are the most important factor in an enterprise. Finding suitable talents for enterprises and providing them with suitable positions and treatment have become the focus of the development of various enterprises. The competition for talents has also become a key factor for the success or failure of various enterprises. Not just businesses, but government agencies as well. Reasonable allocation of human resources is the most...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q10/06
Inventor 王飞白琨陈文
Owner 合肥拓谷信息科技有限公司
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