Course Recommender Systems Need to Consider the Job Market-Reference-Cited by-同舟云学术

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Course Recommender Systems Need to Consider the Job Market

Published:2024-07-10 Issue: Volume:32 Page:522-532
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
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Author:

Frej Jibril¹^ORCID,Dai Anna²^ORCID,Montariol Syrielle²^ORCID,Bosselut Antoine²^ORCID,Käser Tanja¹^ORCID

Affiliation:

1. ML4ED Lab, IC, EPFL, Lausanne, Switzerland

2. NLP Lab, IC, EPFL, Lausanne, Switzerland

Funder

Innosuisse - Swiss Innovation Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657847

Reference42 articles.

1. Complementing educational recommender systems with open learner models

2. Reinforcement Learning based Recommender Systems: A Survey

3. Estimating Skill Proficiency from Resumes

4. Koen Bothmer and Tim Schlippe. 2023. Skill Scanner: Connecting and Supporting Employers Job Seekers and Educational Institutions with an AI-Based Recommendation System. In Innovative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education David Guralnick Michael E. Auer and Antonella Poce (Eds.). Springer International Publishing Cham 69--80.

5. Benjamin Clavié and Guillaume Soulié. 2023. Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers. arXiv preprint arXiv:2307.03539 (2023).

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