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

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.

[1]  Jesús Tramullas,et al.  An Evaluation based on the Digital Library user: An Experience with Greenstone Software☆ , 2013 .

[2]  Jürgen Dorn,et al.  ONTOLOGY DEVELOPMENT FOR HUMAN RESOURCE MANAGEMENT , 2007 .

[3]  Brian Henderson-Sellers,et al.  Agent-oriented methodologies , 2005 .

[4]  In Lee,et al.  Modeling the benefit of e-recruiting process integration , 2011, Decis. Support Syst..

[5]  Ionela Maniu,et al.  A HUMAN RESOURCE ONTOLOGY FOR RECRUITMENT PROCESS , 2009 .

[6]  Ig Ibert Bittencourt,et al.  JOINT: Java ontology integrated toolkit , 2013, Expert Syst. Appl..

[7]  A S Chounde,et al.  Notice of RetractionWeb based recruitment process: A challenge for Indian i.t. companies , 2010, 2010 IEEE International Conference on Advanced Management Science(ICAMS 2010).

[8]  Robert Tolksdorf,et al.  The Impact of Semantic Web Technologies on Job Recruitment Processes , 2005, Wirtschaftsinformatik.

[9]  Juan-Manuel Torres-Moreno,et al.  E-Gen: Automatic Job Offer Processing System for Human Resources , 2007, MICAI.

[10]  Mamadou Diaby,et al.  Field selection for job categorization and recommendation to social network users , 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

[11]  Tim Berners-Lee,et al.  Publishing on the semantic web , 2001, Nature.

[12]  Wahiba Ben Abdessalem Karaa,et al.  Web-based recruiting , 2010, ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010.

[13]  Giannis Tzimas,et al.  Application of Machine Learning Algorithms to an online Recruitment System , 2012, ICIW 2012.

[14]  Jerry Z. Li,et al.  Quality, evaluation and recommendation for learning object , 2010, 2010 International Conference on Educational and Information Technology.

[15]  Giovanni Quattrone,et al.  An XML-Based Multiagent System for Supporting Online Recruitment Services , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.