Revolutionizing Recruitment: A Comparative Study Of KNN, Weighted KNN, and SVM - KNN for Resume Screening-Reference-Cited by-同舟云学术

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Revolutionizing Recruitment: A Comparative Study Of KNN, Weighted KNN, and SVM - KNN for Resume Screening

Published:2023-06-01 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Communication and Electronics Systems (ICCES)
language:
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Author:

Bathija Rishabh¹,Bajaj Vanshika¹,Megnani Chandni¹,Sawara Jasmine¹,Mirchandani Sanjay¹

Affiliation:

1. V.E.S. Institute of Technology,Computer Engineering Department,Mumbai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192571/10192589/10192665.pdf?arnumber=10192665

Reference15 articles.

1. Predicting the “helpfulness” of online consumer reviews

2. Machine learned job recommendation

3. A Survey of E-Commerce Recommender Systems

4. The use of biodata for employee selection: Past research and future directions

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resume Shortlisting Using NLP;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

2. Comparative Analysis of Machine Learning Algorithms for Inflation Rate Classification and Economic Trend Forecasting;Proceedings of the 7th International Conference on Future Networks and Distributed Systems;2023-12-21

3. Resume Screening–Testing For Data Stability;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

4. A Comparison of Machine Learning Algorithms for Wi-Fi Sensing Using CSI Data;Electronics;2023-09-18

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