A Case-Based Multi-Agent and Recommendation Environment to Improve the E-Recruitment Process

被引：6

作者：

Salazar, Oscar M. ^{[1
]}

Jaramillo, Juan C. ^{[1
]}

Ovalle, Demetrio A. ^{[1
]}

Guzman, Jaime A. ^{[1
]}

机构：

[1] Univ Nacl Colombia, Sede Medellin, Medellin, Colombia

来源：

HIGHLIGHTS OF PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND SUSTAINABILITY: THE PAAMS COLLECTION, PAAMS 2015 | 2015年 / 524卷

关键词：

E-recruitment; Recommender systems; Ontologies; HR-XML standard; Case-based reasoning; Negotiation support systems; SYSTEM;

D O I：

10.1007/978-3-319-19033-4_34

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The current growth of information and communication technologies has promoted the development of tools in order to facilitate the process of e-recruitment; benefiting both recruiters as jobseekers. This paper presents a case-based Multi-Agent System which aims at integrating an ontology in order to select and to recommend adapted jobseekers to the recruiter job postings or vice versa. For this reason, the ontology considers the HR-XML standard for map-ping CVs in order to standardize the knowledge representation. The MAS was designed following the Prometheus Methodology and then a prototype has been implemented. A case study was performed within a testing phase in order to validate our work. As a result of this phase, we can prove the effectiveness of using this kind of technologies in the e-recruitment process.

引用

页码：389 / 397

页数：9

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