一对n技能匹配的鸟类交配优化方法

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI:10.1109/ICCP.2016.7737139

Simon Corde, V. Chifu, I. Salomie, E. Chifu, Andreea Iepure

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引用次数: 9

摘要

提出了一种用于一对n技能匹配的鸟类配对优化方法。该方法从两份或多份简历中找到最符合职位描述的最佳技能组合。在我们的方法中，简历集和职位描述通过使用技能分类法在语义上进行描述。为了评估解决方案的质量(即满足所考虑的职位描述的一组简历)，我们定义了一个适应度函数，用于评估所考虑的解决方案的技能组合部分与职位描述的技能集的语义匹配程度。所提出的方法已经在计算机科学领域的1000个cv集上进行了测试，该集正在内部开发。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bird Mating Optimization method for one-to-n skill matching

This paper presents a Bird Mating Optimization method for one-to-n skill matching. The method proposed finds the optimal combination of skills from two or more CVs that best satisfies a job description. In our approach the CV sets as well as the job description are described semantically by using a skilltaxonomy. To evaluate the quality of a solution (i.e. a set of CVs that satisfies the job description considered) we have defined a fitness function that evaluates the degree of semantic matching of the combination of skills part of the considered solution to the set of skills of the job description. The method proposed has been tested on a set of 1000 CVs in the domain of computer science, the set being developed in house.

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来源期刊

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)

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