Fetching the paper…
Reading the bibliography…
In today's rapidly evolving job market, finding the right opportunity can be a daunting challenge.
A hybrid approach to managing job offers and candidates
Rémy Kessler, Nicolas Béchet, Mathieu Roche, Juan-Manuel Torres-Moreno, and Marc El-Bèze · 2012
Earlier work this paper cites.
A scalable, high-performance algorithm for hybrid job recommendations
Toon De Pessemier, Kris Vanhecke, and Luc Martens · 2016
Earlier work this paper cites.
Topic modeling driven content based jobs recommendation engine for recruitment industry
Shivam Bansal, Aman Srivastava, and Anuja Arora · 2017
Earlier work this paper cites.
Lijar: A system for job application redistribution towards efficient career marketplace
Fedor Borisyuk, Liang Zhang, and Krishnaram Kenthapadi · 2017
Earlier work this paper cites.
Hybrid deep collaborative filtering for job recommendation
Weijian Chen, Xingming Zhang, Haoxiang Wang, and Hongjie Xu · 2017
Earlier work this paper cites.
Exploiting job transition patterns for effective job recommendation
Yujin Lee, Yeon-Chang Lee, Jiwon Hong, and Sang-Wook Kim · 2017
Cited alongside, same era.
Combination of content-based user profiling and local collective embeddings for job recommendation
Vasily Leksin, Andrey Ostapets, Mikhail Kamenshikov, Dmitry Khodakov, and Vasily Rubtsov · 2017
Cited alongside, same era.
Job recommendation based on job seeker skills: An empirical study
Jorge Carlos Valverde-Rebaza, Ricardo Puma, Paul Bustios, and Nathalia C Silva · 2018
Cited alongside, same era.
Implicit skills extraction using document embedding and its use in job recommendation
Akshay Gugnani and Hemant Misra · 2020
Cited alongside, same era.
https://docparser.com/blog/data-extraction-tools/
Cited in the paper.
https://openai.com/gpt-4
Cited in the paper.
Learning effective representations for person-job fit by feature fusion
Junshu Jiang, Songyun Ye, Wei Wang, Jingran Xu, and Xiaosheng Luo · 2020
Later among the works it cites.
Using autoencoders for session-based job recommendations
Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, and Elisabeth Lex · 2020
Later among the works it cites.
e-recruitment recommender systems: a systematic review
Mauricio Noris Freire and Leandro Nunes de Castro · 2021
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
https://www.kaggle.com/datasets/kshitizregmi/jobs-and-job-description
Cited in the paper.