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

Corde, Simona; Chifu, Viorica Rozina; Salomie, Ioan; Chifu, Emil St.; Iepure, Andreea

doi:10.1109/iccp.2016.7737139

Cited by 5 publications

(2 citation statements)

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“…Bird Mating Optimization method for one-to-n skill matching is proposed in [1]. The method finds the optimal combination of skills from two or more CVs that best satisfy a job description.…”

Section: Literature Reviewmentioning

confidence: 99%

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Job-Candidate Matching using ESCO Ontology

Shakya

Paudel

2019

J. Inst. Engineering

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Skills management is one of the key factors to address the increasing competitiveness among different companies. Suitable knowledge representation and approach for matching skills and competences in job vacancies and candidate profiles can support human resources management automation through suitable matching and ranking services. This paper presents an approach for matchmaking between skills demand and supply through skill profiles enrichment and matching supply and demand profiles over multiple criteria. This work builds upon methods for profile modeling, information enrichment and multi-criteria matching. The main contribution of this work is a methodology for harmonization and enrichment of heterogeneous profile models and skill set description by making use of the standard ESCO ontology. Secondly, an algorithm is proposed for similarity matching across multi-criteria for discovering set of profiles that best fits the job description criteria. A prototype web-based system has been developed to implement the proposed approach and deployed online. The system has been tested with real IT jobs related dataset and validated against relevance scores provided by human experts. Experimental results show consistent correspondence between the similarity ranking scores produced by the system and scores provided by the human users.

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Section: Literature Reviewmentioning

confidence: 99%

“…The goal is to optimize one or more criteria in order to achieve the desired result. In human resource scenario there is a need of optimizing several criteria simultaneously [1].…”

Section: Introductionmentioning

confidence: 99%