20.500.12556/RUL-167624 Career path discovery through bipartite graphs To address the complexity of career decision-making limitations, we propose a novel framework for calculating occupation similarity measures based on bipartite graphs constructed from public occupation-skills ontologies. The proposed occupation similarity measures were constructed exclusively utilising knowledge from the European standard classification of occupations (ESCO) ontology. The resulting occupation similarity measures are fully explainable and computationally efficient. Furthermore, they are effortlessly transferable across regions and countries. This approach allows us to tailor the similarity measures to the specific needs, preferences, and career status of job seekers, providing a more personalised and comprehensive view of potential career paths. Our validation using an extensive dataset of over 450,000 job transitions in Slovenia confirms the effectiveness of our approach, demonstrating the value of employing multiple occupation similarity measures over a single measure. labour market decision making graphs career decision-making bipartite graphs explainable similarity measures occupation similarity trg dela odločanje grafi true false true Angleški jezik Slovenski jezik Članek v reviji 2025-03-04 15:18:54 2025-03-04 15:19:00 2025-03-05 04:03:08 0000-00-00 00:00:00 2024 0 0 Str. 140-153 no. S1 Vol. 33 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 331.108 2116-7052 10.1080/12460125.2024.2354585 196604163 Career_path_discovery_through_bipartite_graphs.pdf Career_path_discovery_through_bipartite_graphs.pdf 1 A114DACAC6CD617F03590C07C58B6067 62e4cfc16f901612ce6dd5b9b6b5ceba2bcdc6a0a76f83281e2e56c14f73aed5 5277174b-f903-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=200312 https://www.tandfonline.com/doi/full/10.1080/12460125.2024.2354585 0 3528b7c8-f903-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=200311 Ekonomska fakulteta 0 0 0