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Medium-high-end talent intelligent recommendation system and method based on domain self-classification

A recommendation method and recommendation system technology, which is applied in the field of intelligent recommendation system for mid-to-high-end talents, can solve the problems of not being able to satisfy talents in fine-grained fields, and not mining and integrating Internet information, so as to achieve the effect of solving semi-automatic labeling and improving labeling accuracy

Active Publication Date: 2020-10-02
福州数据技术研究院有限公司
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Problems solved by technology

This solution is only based on the most basic resume-related information of talents, and does not mine and integrate Internet information such as literature results, news blogs, etc., and the field division is based on the set categories, which can no longer meet the needs of users for fine-grained field talents.

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  • Medium-high-end talent intelligent recommendation system and method based on domain self-classification

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Embodiment Construction

[0060] In order to make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application.

[0061] In order to solve the problem of rapid construction of high-end talent pools in the whole field and intelligent retrieval and recommendation of talents in small fields, knowledge map technology is adopted, through the mining and analysis of big data of science and technology, large-scale multi-field scientific and technological knowledge map construction, and field matching based on knowledge map The establishment of the automatic association relationship between middle and high-end talent portraits and multi-level scientific and technological knowledge maps, so as to realize the field automatic classification of massive talent data and the talent...

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Abstract

The invention discloses a medium-high-end talent intelligent recommendation system and method based on domain self-classification. A mapping knowledge domain technique is adopted , science and technology big data are mined and analyzed; a large-scale multi-field science and technology knowledge graph is constructed; based on matching fields based on the knowledge graph and the like, an automatic association relationship between the middle and high-end talent portraits and the multi-level science and technology knowledge graph is established, thereby achieving domain automatic classification ofmassive talent data and talent retrieval recommendation based on a 'small domain ', and providing an effective tool for talent introduction, talent information aggregation and retrieval of a talent introduction institution.

Description

Technical field [0001] The present invention relates to the field of talent recommendation systems, and in particular to an intelligent recommendation system for high-end talents based on field self-classification and a method thereof. Background technique [0002] Technological talents are the primary driving force for the economic development of technological innovation. How to discover, train, retain, attract, and use talents is an important topic for gaining advantages in today's increasingly severe international competition. With the changes in the industrial structure caused by industrial adjustments, the society’s demand for talents has undergone structural changes. Under the conditions of insufficient supply of talents and relatively lagging conditions, the increased demand for talents in specific fields has increased the scarcity of talents; The quality requirements that should be possessed are higher, so that mid- to high-end talents with high education, high quality a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/35G06F40/242G06F40/289G06F40/30G06F16/951G06Q10/06G06N3/04G06N3/08
CPCG06F16/367G06F16/35G06F40/242G06F40/289G06F40/30G06F16/951G06Q10/06393G06Q10/06398G06N3/084G06N3/045
Inventor 黄丽丽姚智振游河仁石宝玉王绍兰
Owner 福州数据技术研究院有限公司
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