A method and device for extracting job skill requirements
A technology for skills and positions, applied in the field of data processing, can solve problems such as inaccurate and rough skills requirements, and achieve the effect of solving inaccurate statistics and improving calculation accuracy
Active Publication Date: 2020-05-19
北京德塔精要信息技术有限公司
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[0004] Therefore, there are at least the following technical defects in the prior art: because the division of job categories by the recruitment website is only very rough, the recruitment positions included in a specific job category may not belong to the occupation classification, resulting in that the statistics will not belong to the occupation classification. The recruitment information of occupational classification has been counted, making the skill demand obtained from the statistics inaccurate
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[0023] 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 described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0024] figure 1 A schematic flow chart of the method for extracting job skill requirements provided by the embodiment of the present invention, such as figure 1 As shown, it includes: S1, through the skill word semantic network, obtain the vector information corresponding to multiple skill words under the job category; S2, obtain the average vector of the multiple skil...
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The present invention provides a method and an apparatus for extracting a skill demand of a position. The method comprises: S1. by using a skill word semantic network, acquiring vector information corresponding to multiple skill words separately in a position category; S2. acquiring an average vector of the multiple skill words according to the vector information, and performing clustering processing according to the average vector to obtain a target skill word; and S3. acquiring a kill demand in the position category according to a word frequency of the target skill word. According to the method, by constructing the skill word semantic network and performing clustering processing, the target skill word and skill demand with a higher degree of similarity are acquired, so that the problem of inaccurate statistics in the prior art is effectively solved, and computing precision is increased.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for extracting job skill requirements. Background technique [0002] With the rapid development of Internet technology, people usually apply for jobs through Internet recruitment websites. Recruitment websites usually classify specific recruitment positions according to job categories. For example, job categories may include Internet, finance, and medical care, etc., and each category contains specific recruitment information. Recruitment websites usually count the popular skill needs of various job categories. For example, the popular skill needs of the Internet usually include Java development experience and IOS development experience, so as to help job seekers find jobs more efficiently. [0003] In the prior art, in order to obtain the skill requirements of a certain job category, the recruitment information belonging to the job category is usuall...
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IPC IPC(8): G06F16/35G06Q10/10G06F40/289G06F40/30
CPCG06F16/35G06F40/289G06F40/30G06Q10/105
Inventor 李智博董旭范成伟李宝环
Owner 北京德塔精要信息技术有限公司