%0 Journal Article %1 noauthororeditor %A Sukit Kitichalermkiat, Vishakha Singh %D 2022 %J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) %K Job Learning Machine Recruiter matching %N 3 %P 12 %R https://doi.org/10.5121/ijscai.2021.11301 %T JOB MATCHING USING ARTIFICIAL INTELLIGENCE %U https://aircconline.com/ijscai/V11N3/11322ijscai01.pdf %V 11 %X The job market has expanded exponentially in the past few years. With many recruiters and candidates, it is not an easy task to match a perfect candidate with a perfect job. The recruiter targets candidates with the required skill sets mentioned in the job descriptions, while candidates target their dream jobs. The search frictions and skills mismatch are persistent problems. In this paper, we build a model that would match companies with candidates with the right skills and workers with the right company. We have further developed an algorithm to investigate people’s hiring history for better results.

@article{noauthororeditor, abstract = {The job market has expanded exponentially in the past few years. With many recruiters and candidates, it is not an easy task to match a perfect candidate with a perfect job. The recruiter targets candidates with the required skill sets mentioned in the job descriptions, while candidates target their dream jobs. The search frictions and skills mismatch are persistent problems. In this paper, we build a model that would match companies with candidates with the right skills and workers with the right company. We have further developed an algorithm to investigate people’s hiring history for better results.}, added-at = {2023-04-05T12:08:59.000+0200}, author = {Sukit Kitichalermkiat, Vishakha Singh}, biburl = {https://www.bibsonomy.org/bibtex/231d192b50111c328c517883a3487557e/leninsha}, doi = {https://doi.org/10.5121/ijscai.2021.11301}, interhash = {bbe099c13f36b287e3fb6f4c882b275c}, intrahash = {31d192b50111c328c517883a3487557e}, issn = {2319 - 1015 [Online]; 2319 - 4081 [Print]}, journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)}, keywords = {Job Learning Machine Recruiter matching}, language = {English}, month = {8}, number = 3, pages = 12, timestamp = {2023-04-05T12:08:59.000+0200}, title = {JOB MATCHING USING ARTIFICIAL INTELLIGENCE}, url = {https://aircconline.com/ijscai/V11N3/11322ijscai01.pdf}, volume = 11, year = 2022 }