Zero-Shot Recommendation AI Models for Efficient Job–Candidate Matching in Recruitment Process

Zero-Shot Recommendation AI Models for Efficient Job–Candidate Matching in Recruitment Process

In the evolving realities of recruitment, the precision of job–candidate matching is crucial. This study explores the application of Zero-Shot Recommendation AI Models to enhance this matching process. Utilizing advanced pretrained models such as all-MiniLM-L6-v2 and applying similarity metrics like...

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Bibliographic Details
Main Authors: Jarosław Kurek, Tomasz Latkowski, Michał Bukowski, Bartosz Świderski, Mateusz Łępicki, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz, Łukasz Dobrakowski
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
recommendation model
pretrained nlp models
job–candidate matching
recruitment process
Online Access:https://www.mdpi.com/2076-3417/14/6/2601

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