Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment

The progress of Internet and World Wide Web technology brings the movement of traditional recruitment process to web based recruitment. Applying job matching approach automatically will bring benefit to both job seekers and employers. For the employer, the costs of manually preselecting potential ca...

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Main Author:	Norhasimah, Mustafa
Format:	Thesis
Language:	eng eng
Published:	2009
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/1916/1/Norhasimah_Mustafa.pdf https://etd.uum.edu.my/1916/2/1.Norhasimah_Mustafa.pdf
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id	my-uum-etd.1916
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76 Computer software
spellingShingle	QA76 Computer software Norhasimah, Mustafa Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment
description	The progress of Internet and World Wide Web technology brings the movement of traditional recruitment process to web based recruitment. Applying job matching approach automatically will bring benefit to both job seekers and employers. For the employer, the costs of manually preselecting potential candidates have risen and employers are searching for means to automate the preselecting of candidates. A few techniques could be applied in order to implement job matching process such as using fuzzy matching, semantic, rule-base reasoning and case–based reasoning (CBR). This study aims to demonstrate that CBR could be integrated in job matching to recommend the best candidate suitable with the job requirement using similarity measurement. As a result, a prototype called Intelligent Agent Dot Com (IADC) using CBR engine for matching purposes has been developed, validated and evaluated in this study. The finding through validation and evaluation phase indicates that IADC is reliable to assist employer in the pre-selection process during recruitment. In fact, the pre-selection of candidates has become easier than the manual process.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Norhasimah, Mustafa
author_facet	Norhasimah, Mustafa
author_sort	Norhasimah, Mustafa
title	Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment
title_short	Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment
title_full	Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment
title_fullStr	Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment
title_full_unstemmed	Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment
title_sort	integrating case-based reasoning in job matching system for pre-selection process of recruitment
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2009
url	https://etd.uum.edu.my/1916/1/Norhasimah_Mustafa.pdf https://etd.uum.edu.my/1916/2/1.Norhasimah_Mustafa.pdf
_version_	1747827231820873728
spelling	my-uum-etd.19162013-07-24T12:13:42Z Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment 2009 Norhasimah, Mustafa College of Arts and Sciences (CAS) College of Arts and Sciences QA76 Computer software The progress of Internet and World Wide Web technology brings the movement of traditional recruitment process to web based recruitment. Applying job matching approach automatically will bring benefit to both job seekers and employers. For the employer, the costs of manually preselecting potential candidates have risen and employers are searching for means to automate the preselecting of candidates. A few techniques could be applied in order to implement job matching process such as using fuzzy matching, semantic, rule-base reasoning and case–based reasoning (CBR). This study aims to demonstrate that CBR could be integrated in job matching to recommend the best candidate suitable with the job requirement using similarity measurement. As a result, a prototype called Intelligent Agent Dot Com (IADC) using CBR engine for matching purposes has been developed, validated and evaluated in this study. The finding through validation and evaluation phase indicates that IADC is reliable to assist employer in the pre-selection process during recruitment. In fact, the pre-selection of candidates has become easier than the manual process. 2009 Thesis https://etd.uum.edu.my/1916/ https://etd.uum.edu.my/1916/1/Norhasimah_Mustafa.pdf application/pdf eng validuser https://etd.uum.edu.my/1916/2/1.Norhasimah_Mustafa.pdf application/pdf eng public masters masters Universiti Utara Malaysia Aamodt,, A. & Plaza, E. (1994). Case-based reasoning: Foundational issues,methodological variations, and system approaches. AI Communications, 7(1),39-59.Beardwell, I., Holden, L. and Claydon, T. (2004), Human resource management, 4th edition. Prentice Hall, Harlow.Bennet S., McRobb S., Farmer, R. (2006). 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Integrating Case-Based Reasoning in Job Matching System for Pre-selection Process of Recruitment

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