Enhancing E-Recruitment Recommendations Through Text Summarization Techniques

Enhancing E-Recruitment Recommendations Through Text Summarization Techniques

This research aims to enhance e-recruitment systems using text summarization techniques and pretrained large language models (LLMs). A job recommender system is built with integrated text summarization. The text summarization techniques that are selected are BART, T5 (Text-to-Text Transfer Transform...

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Bibliographic Details
Main Authors: Reham Hesham El-Deeb, Walid Abdelmoez, Nashwa El-Bendary
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Information
Subjects:
information retrieval
recommender systems
artificial intelligence
natural language processing
pretrained large language models
text summarization
Online Access:https://www.mdpi.com/2078-2489/16/4/333
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