An XML-based Multi-Agent System for Supporting Online Recruitment Services

TL;DR

This paper introduces an XML-based multi-agent recommender system designed to enhance online recruitment by personalizing job searches, utilizing intelligent agent technology, and ensuring flexible information exchange.

Contribution

It presents a novel XML-based multi-agent system for online recruitment, integrating user profile personalization with intelligent agents and XML standards.

Findings

System effectively personalizes job search results.

Experimental evaluation shows good performance.

Outperforms existing e-recruitment systems.

Abstract

In this paper we propose an XML-based multi-agent recommender system for supporting online recruitment services. Our system is characterized by the following features: {\em (i)} it handles user profiles for personalizing the job search over the Internet; {\em (ii)} it is based on the Intelligent Agent Technology; {\em (iii)} it uses XML for guaranteeing a light, versatile and standard mechanism for information representation, storing and exchange. The paper discusses the basic features of the proposed system, presents the results of an experimental study we have carried out for evaluating its performance, and makes a comparison between the proposed system and other e-recruitment systems already presented in the past.