A New Approach for Automated Job Search using Information Retrieval

Article ID

CSTSDEL182A

A New Approach for Automated Job Search using Information Retrieval

Dr. Tahseen A. Al-Ramadin
Dr. Tahseen A. Al-Ramadin Al-Hussein Bin Talal University
Dr. Malek Al-ksasbeh
Dr. Malek Al-ksasbeh
Dr.Mohaamed al-Jafreeh
Dr.Mohaamed al-Jafreeh
DOI

Abstract

Cost effective and high quality are the ultimate fundamentals of software engineering; Thus, Searching for the most appropriate job is fulfilled these fundamentals. In this article, the cost effective fundamental is accomplished carefully through Automatic Job Search (AJS) software to effortlessly and quickly assist applicant to obtain high quality job. AJS firstly searches all suitable opportunities for applicant based on his curriculum vita (CV) in all online advertisements available then a list of proper jobs will be displayed with links for each job corresponding to parts of CV. Moreover, AJS searches all applicants’ CV and presents to employers a list of candidates who could fit the vacant positions or jobs then presents a list of jobs with link to their correspondent employers to Job seeker.

A New Approach for Automated Job Search using Information Retrieval

Cost effective and high quality are the ultimate fundamentals of software engineering; Thus, Searching for the most appropriate job is fulfilled these fundamentals. In this article, the cost effective fundamental is accomplished carefully through Automatic Job Search (AJS) software to effortlessly and quickly assist applicant to obtain high quality job. AJS firstly searches all suitable opportunities for applicant based on his curriculum vita (CV) in all online advertisements available then a list of proper jobs will be displayed with links for each job corresponding to parts of CV. Moreover, AJS searches all applicants’ CV and presents to employers a list of candidates who could fit the vacant positions or jobs then presents a list of jobs with link to their correspondent employers to Job seeker.

Dr. Tahseen A. Al-Ramadin
Dr. Tahseen A. Al-Ramadin Al-Hussein Bin Talal University
Dr. Malek Al-ksasbeh
Dr. Malek Al-ksasbeh
Dr.Mohaamed al-Jafreeh
Dr.Mohaamed al-Jafreeh

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Dr. Tahseen A. Al-Ramadin. 2015. “. Global Journal of Computer Science and Technology – C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C6): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 15 Issue C6
Pg. 15- 20
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GJCST-C Classification: H.2.8
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A New Approach for Automated Job Search using Information Retrieval

Dr. Tahseen A. Al-Ramadin
Dr. Tahseen A. Al-Ramadin Al-Hussein Bin Talal University
Dr. Malek Al-ksasbeh
Dr. Malek Al-ksasbeh
Dr.Mohaamed al-Jafreeh
Dr.Mohaamed al-Jafreeh

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