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Results: 5
Number of items: 5
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Vrolijk, J., & Graus, D. (2023). Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. In M. Kaya, T. Bogers, D. Graus, C. Johnson, & J.-J. Decorte (Eds.), Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023): co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023) : Singapore, Singapore, 18th-22nd September 2023 Article 4 (CEUR Workshop Proceedings; Vol. 3490). CEUR-WS. https://ceur-ws.org/Vol-3490/RecSysHR2023-paper_4.pdf -
Vrolijk, J., Mol, S. T., Weber, C., Tavakoli, M., Kismihók, G., & Pelucchi, M. (2022). OntoJob: Automated Ontology Learning from Labor Market Data. In 16th IEEE International Conference on Semantic Computing: proceedings : 26-28 January 2022, virtual event (pp. 195-200). (ICSC; Vol. 2022). IEEE Computer Society. https://doi.org/10.1109/ICSC52841.2022.00040 -
Tavakoli, M., Faraji, A., Vrolijk, J., Molavi, M., Mol, S. T., & Kismihók, G. (2022). An AI-based Open Recommender System for Personalized Labour Market Driven Education. Advanced Engineering Informatics, 52, Article 101508. https://doi.org/10.1016/j.aei.2021.101508 -
Kobayashi, V. B., Mol, S. T., Vrolijk, J., & Kismihók, G. (2021). Text mining in career studies: Generating insights from unstructured textual data. In W. Murphy, & J. Tosti-Kharas (Eds.), Handbook of Research Methods in Careers (pp. 139-163). (Handbooks of research methods in management). Edward Elgar Publishing. https://doi.org/10.4337/9781788976725.00015
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