Experimental Implementation approach of Crawling Framework CARE JOBS for Disability Job Search Using Intelligent Agents

Diana Avram
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Abstract

The Crawling Framework CAREJOBS (CF) we present here is a suite of tools dedicated to facilitating job search for people with disabilities. In this experimental implementation we propose a crawler with modern architecture based on intelligent agents, a multi-agent system trained on the basis of a rule engine. We also present a case of using CF in a CV creation expert. It can be seen that our approach is perfectible by adding learning to the agent model.
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利用智能代理进行残疾工作搜索的 CARE JOBS 抓取框架的实验实施方法
我们在此介绍的 CAREJOBS(CF)爬虫框架是一套专门为残疾人求职提供便利的工具。在本实验实施中,我们提出了一种基于智能代理的现代架构爬虫,这是一种在规则引擎基础上训练出来的多代理系统。我们还介绍了在简历创建专家中使用 CF 的案例。可以看出,通过在代理模型中添加学习功能,我们的方法是可行的。
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