A Neural Information Retrieval Approach for Résumé Searching in a Recruitment Agency

Brandon Grech; David Suda

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Paper

A Neural Information Retrieval Approach for Résumé Searching in a Recruitment Agency

Topics: Deep Learning and Neural Networks; Document Analysis; Information Retrieval; Machine Learning Methods; Natural Language Processing

In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 645-651, 2020 , Valletta, Malta

Authors: Brandon Grech and David Suda

Affiliation: Department of Statistics and Operations Research, University of Malta, Msida MSD2080, Malta

Keyword(s): N-grams, Skip-grams, Word Embeddings, Document Vectors, Neural Language Model, Neural Information Retrieval.

Abstract: Finding résumés that match a job description can be a daunting task for a recruitment agency, due to the fact that these agencies are dealing with hundreds of job descriptions and tens of thousands of résumés simultaneously. In this paper we explain a search method devised for a recruitment agency by measuring similarity between résumé documents and job description documents. Document vectors are obtained via TF-IDF weights from word embeddings arising from a neural language model with a skip-gram loss function. We show that, with this approach, successful searches can be achieved, and that the number of skips assumed in the skip gram loss function determines how successful it can be for different job descriptions.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Grech, B. and Suda, D. (2020). A Neural Information Retrieval Approach for Résumé Searching in a Recruitment Agency. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-397-1; ISSN 2184-4313, SciTePress, pages 645-651. DOI: 10.5220/0009355006450651

@conference{icpram20,
author={Brandon Grech. and David Suda.},
title={A Neural Information Retrieval Approach for Résumé Searching in a Recruitment Agency},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2020},
pages={645-651},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009355006450651},
isbn={978-989-758-397-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - A Neural Information Retrieval Approach for Résumé Searching in a Recruitment Agency
SN - 978-989-758-397-1
IS - 2184-4313
AU - Grech, B.
AU - Suda, D.
PY - 2020
SP - 645
EP - 651
DO - 10.5220/0009355006450651
PB - SciTePress