OKRA: An Explainable, Heterogeneous, Multi-stakeholder Job Recommender System.

@inproceedings{schellingerhout-2025-okra, author = {Roan Schellingerhout and Francesco Barile and Nava Tintarev}, editor = {Claudia Hauff and Craig Macdonald and Dietmar Jannach and Gabriella Kazai and Franco Maria Nardini and Fabio Pinelli and Fabrizio Silvestri and Nicola Tonellotto}, title = {{OKRA: An Explainable, Heterogeneous, Multi-stakeholder Job Recommender System}}, booktitle = {{Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {15573}, pages = {343--359}, publisher = {Springer}, year = {2025}, url = {https://doi.org/10.1007/978-3-031-88711-6_22}, doi = {https://doi.org/10.1007/978-3-031-88711-6_22} }