Avature/Job-Title-Similarity

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The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at e688c0d
Licence files: No licence file at the top level of the repositoryEvidence: file list at e688c0d
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

@article{zbib2022Learning,
      title={{Learning Job Titles Similarity from Noisy Skill Labels}},
      author={Rabih Zbib and
              Lucas Alvarez Lacasa and
              Federico Retyk and
              Rus Poves and
              Juan Aizpuru and
              Hermenegildo Fabregat and
              Vaidotas Šimkus and
              Emilia García-Casademont},
      journal={{FEAST, ECML-PKDD 2022 Workshop}},
      year={{2022}},
      url="https://feast-ecmlpkdd.github.io/archive/2022/papers/FEAST2022_paper_4972.pdf"
}
@inproceedings{deniz2024Combined,
  title        = {Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendations},
  author       = {Daniel Deniz and
                  Federico Retyk and
                  Laura García-Sardiña and
                  Hermenegildo Fabregat and
                  Luis Gasco and
                  Rabih Zbib},
  booktitle    = {Proceedings of the 4th Workshop on Recommender Systems for Human Resources
                  (RecSys in {HR} 2024), in conjunction with the 18th {ACM} Conference on
                  Recommender Systems},
  year         = {2024},
}

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dataset_licence({ "id": "Avature/Job-Title-Similarity" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0