A New Approach for Automated Job Search using Information Retrieval

Dr. Tahseen A. Al-Ramadin; Tahseen Al-Ramadin

A New Approach for Automated Job Search using Information Retrieval

Dr. Tahseen A. Al-Ramadin * §

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Tahseen Al-Ramadin §

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§ Al-Hussein Bin Talal University

A New Approach for Automated Job Search using Information Retrieval

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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.

References

8 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Tahseen A. Al-Ramadin. 2015. "A New Approach for Automated Job Search using Information Retrieval". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C6).

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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

Keywords

Not Found

Classification

GJCST-C Classification H.2.8

Submission ReceivedDecember 14, 2014
Peer Review Double Blind
Handling Editor
Accepted January 4, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

August 27, 2015

Language

English

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Article Matrices

Total Score: 118

Country: Jordan

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Dr. Tahseen A. Al-Ramadin, Dr. Malek Al-ksasbeh, Dr.Mohaamed al-Jafreeh (PhD/Dr. count: 3)

View Count (all-time): 458

Total Views (Real + Logic): 2796

Total Downloads (simulated): 210

Publish Date: 2015 01, Thu

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Total Views: 2.8K

Total Downloads: 210

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