{
 "id": "Avature/Job-Title-Similarity",
 "owner": "Avature",
 "name": "Job-Title-Similarity",
 "downloads": 475,
 "likes": 0,
 "last_modified": "2026-01-04T22:28:58.000Z",
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 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "text-retrieval",
  "sentence-similarity"
 ],
 "citation": "@article{zbib2022Learning,\n      title={{Learning Job Titles Similarity from Noisy Skill Labels}},\n      author={Rabih Zbib and\n              Lucas Alvarez Lacasa and\n              Federico Retyk and\n              Rus Poves and\n              Juan Aizpuru and\n              Hermenegildo Fabregat and\n              Vaidotas Šimkus and\n              Emilia García-Casademont},\n      journal={{FEAST, ECML-PKDD 2022 Workshop}},\n      year={{2022}},\n      url=\"https://feast-ecmlpkdd.github.io/archive/2022/papers/FEAST2022_paper_4972.pdf\"\n}\n@inproceedings{deniz2024Combined,\n  title        = {Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendations},\n  author       = {Daniel Deniz and\n                  Federico Retyk and\n                  Laura García-Sardiña and\n                  Hermenegildo Fabregat and\n                  Luis Gasco and\n                  Rabih Zbib},\n  booktitle    = {Proceedings of the 4th Workshop on Recommender Systems for Human Resources\n                  (RecSys in {HR} 2024), in conjunction with the 18th {ACM} Conference on\n                  Recommender Systems},\n  year         = {2024},\n}",
 "signal": "permissive",
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 "revision": "e688c0d691415cf806b4f7f814d282bcabef8aed",
 "stated_evidence": "https://huggingface.co/datasets/Avature/Job-Title-Similarity/blob/e688c0d691415cf806b4f7f814d282bcabef8aed/README.md",
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}