INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Evaluation of a Job Suggestion Tool Using Machine Learning
Authors Name:
Sharad Soni
, Prof. Sumit Sharma
Unique Id:
IJSDR2307082
Published In:
Volume 8 Issue 7, July-2023
Abstract:
This study evaluates the effectiveness and performance of a job suggestion tool that utilizes machine learning techniques. The tool aims to provide personalized job recommendations to users based on their skills, experience, and preferences. The evaluation process involves collecting user data, training a machine learning model, and assessing the tool's accuracy and relevance in matching users with suitable job opportunities. The study also considers user experience factors such as usability, interface design, and overall satisfaction. The findings provide insights into the tool's strengths, limitations, and potential areas for improvement, offering valuable feedback for developers and stakeholders.
"Evaluation of a Job Suggestion Tool Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.576 - 583, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307082.pdf
Downloads:
000338536
Publication Details:
Published Paper ID: IJSDR2307082
Registration ID:207776
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 576 - 583
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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