AI based suitability measurement and prediction between job description and job seeker profiles
Hiring a suitable candidate for a certain job is highly demanding and requires several intense processes. Many organizations face challenges to hire a suitable candidate as they seek specific requirements mentioned in the Job Description (JD). An Artificial Intelligence (AI) based system is develope...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | International Journal of Information Management Data Insights |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096822000520 |
| _version_ | 1828300553598271488 |
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| author | Sridevi G．M． S. Kamala Suganthi |
| author_facet | Sridevi G．M． S. Kamala Suganthi |
| author_sort | Sridevi G．M． |
| collection | DOAJ |
| description | Hiring a suitable candidate for a certain job is highly demanding and requires several intense processes. Many organizations face challenges to hire a suitable candidate as they seek specific requirements mentioned in the Job Description (JD). An Artificial Intelligence (AI) based system is developed to measure and predict a suitable candidate from an available Candidate Resume (CR) database. Four clusters are prepared from JD and CR corresponding to primary skills, secondary skills, adjectives, and adverbs. The Jaccard similarity is measured between these clusters and a suitability measure is proposed based on the cluster parameters. Using the three classifiers linear regression, decision tree, Adaboost, and XGBoost the prediction of candidate suitability is performed. To carry out the classification tasks various features are formed by employing the bag of words technique. The maximum average accuracy of 95.14% is achieved for the XGBoost classifier. |
| first_indexed | 2024-04-13T13:11:36Z |
| format | Article |
| id | doaj.art-23e97e349acb4c7dab546b9d5eef14cd |
| institution | Directory Open Access Journal |
| issn | 2667-0968 |
| language | English |
| last_indexed | 2024-04-13T13:11:36Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Information Management Data Insights |
| spelling | doaj.art-23e97e349acb4c7dab546b9d5eef14cd2022-12-22T02:45:35ZengElsevierInternational Journal of Information Management Data Insights2667-09682022-11-0122100109AI based suitability measurement and prediction between job description and job seeker profilesSridevi G．M．0S. Kamala Suganthi1Corresponding author.; Atria Centre for Management and Entrepreneurship Bangalore 560024, IndiaAtria Centre for Management and Entrepreneurship Bangalore 560024, IndiaHiring a suitable candidate for a certain job is highly demanding and requires several intense processes. Many organizations face challenges to hire a suitable candidate as they seek specific requirements mentioned in the Job Description (JD). An Artificial Intelligence (AI) based system is developed to measure and predict a suitable candidate from an available Candidate Resume (CR) database. Four clusters are prepared from JD and CR corresponding to primary skills, secondary skills, adjectives, and adverbs. The Jaccard similarity is measured between these clusters and a suitability measure is proposed based on the cluster parameters. Using the three classifiers linear regression, decision tree, Adaboost, and XGBoost the prediction of candidate suitability is performed. To carry out the classification tasks various features are formed by employing the bag of words technique. The maximum average accuracy of 95.14% is achieved for the XGBoost classifier.http://www.sciencedirect.com/science/article/pii/S2667096822000520Suitability measurementTalent acquisitionProfilesArtificial intelligence, Quality |
| spellingShingle | Sridevi G．M． S. Kamala Suganthi AI based suitability measurement and prediction between job description and job seeker profiles International Journal of Information Management Data Insights Suitability measurement Talent acquisition Profiles Artificial intelligence, Quality |
| title | AI based suitability measurement and prediction between job description and job seeker profiles |
| title_full | AI based suitability measurement and prediction between job description and job seeker profiles |
| title_fullStr | AI based suitability measurement and prediction between job description and job seeker profiles |
| title_full_unstemmed | AI based suitability measurement and prediction between job description and job seeker profiles |
| title_short | AI based suitability measurement and prediction between job description and job seeker profiles |
| title_sort | ai based suitability measurement and prediction between job description and job seeker profiles |
| topic | Suitability measurement Talent acquisition Profiles Artificial intelligence, Quality |
| url | http://www.sciencedirect.com/science/article/pii/S2667096822000520 |
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