Design and Implementation of an AI-Enabled Online Recruitment System

The recruitment process can be challenging and time-consuming for both job seekers and recruiters. To address this issue, this paper presents the design of an online recruitment system for Sultan Qaboos University (SQU) to replace the current manual and inefficient hiring process. The new system aims to modernize and accelerate recruiting through automated screening and ranking of candidates. Core objectives include providing a user-friendly website for candidates and recruiters, seamlessly integrating artificial intelligence for qualification matching, and generating rated candidate shortlists to aid selection.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/i-coste63786.2024.11024623
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Design and Implementation of an AI-Enabled Online Recruitment System

Tariq Jamil, M. Al-Balushi, Mohamed Ali Abdulhussain, Wasam Rashid Salim Alrashdi
Big Data and Business Intelligence
article

Design and Implementation of an AI-Enabled Online Recruitment System

Tariq Jamil, M. Al-Balushi, Mohamed Ali Abdulhussain, Wasam Rashid Salim Alrashdi
article en

Abstract

The recruitment process can be challenging and time-consuming for both job seekers and recruiters. To address this issue, this paper presents the design of an online recruitment system for Sultan Qaboos University (SQU) to replace the current manual and inefficient hiring process. The new system aims to modernize and accelerate recruiting through automated screening and ranking of candidates. Core objectives include providing a user-friendly website for candidates and recruiters, seamlessly integrating artificial intelligence for qualification matching, and generating rated candidate shortlists to aid selection.

Sultan Qaboos University (OM)
Openalex Percentile: Top 51%
Big Data and Business Intelligence
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