Job recommender systems: A review
C De Ruijt, S Bhulai - arXiv preprint arXiv:2111.13576, 2021 - arxiv.org
This paper provides a review of the job recommender system (JRS) literature published in
the past decade (2011-2021). Compared to previous literature reviews, we put more …
the past decade (2011-2021). Compared to previous literature reviews, we put more …
Person-job fit: Adapting the right talent for the right job with joint representation learning
Person-Job Fit is the process of matching the right talent for the right job by identifying talent
competencies that are required for the job. While many qualitative efforts have been made in …
competencies that are required for the job. While many qualitative efforts have been made in …
A practical study of methods for deriving insightful attribute importance rankings using decision bireducts
Subject matter experts (SMEs) often rely on attribute importance rankings to verify machine
learning models, acquire insights into their outcomes, and gain a deeper understanding of …
learning models, acquire insights into their outcomes, and gain a deeper understanding of …
Dynamic talent flow analysis with deep sequence prediction modeling
Talent flow analysis is a process for analyzing and modeling the flows of employees into and
out of targeted organizations, regions, or industries. A clear understanding of talent flows is …
out of targeted organizations, regions, or industries. A clear understanding of talent flows is …
Toward job recommendation for all
G Bied, S Nathan, E Perennes, M Hoffmann… - … Joint Conference on …, 2023 - hal.science
This paper presents a job recommendation algorithm designed and validated in the context
of the French Public Employment Service. The challenges, owing to the confidential data …
of the French Public Employment Service. The challenges, owing to the confidential data …
The impact of person-organization fit on talent management: A structure-aware convolutional neural network approach
Person-Organization fit (PO fit) refers to the compatibility between employees and their
organizations. The study of PO fit is important for enhancing proactive talent management …
organizations. The study of PO fit is important for enhancing proactive talent management …
A counterfactual framework for seller-side a/b testing on marketplaces
V Ha-Thuc, A Dutta, R Mao, M Wood, Y Liu - Proceedings of the 43rd …, 2020 - dl.acm.org
Many consumer products are two-sided marketplaces, ranging from commerce products that
connect buyers and sellers, such as Amazon, Alibaba, and Facebook Marketplace, to …
connect buyers and sellers, such as Amazon, Alibaba, and Facebook Marketplace, to …
LiJAR: A system for job application redistribution towards efficient career marketplace
F Borisyuk, L Zhang, K Kenthapadi - Proceedings of the 23rd ACM …, 2017 - dl.acm.org
Online professional social networks such as LinkedIn serve as a marketplace, wherein job
seekers can find right career opportunities and job providers can reach out to potential …
seekers can find right career opportunities and job providers can reach out to potential …
Salience and market-aware skill extraction for job targeting
At LinkedIn, we want to create economic opportunity for everyone in the global workforce. To
make this happen, LinkedIn offers a reactive Job Search system, and a proactive Jobs You …
make this happen, LinkedIn offers a reactive Job Search system, and a proactive Jobs You …
Machop: an end-to-end generalized entity matching framework
Real-world applications frequently seek to solve a general form of the Entity Matching (EM)
problem to find associated entities. Such scenarios include matching jobs to candidates in …
problem to find associated entities. Such scenarios include matching jobs to candidates in …