Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem

Giabelli, Anna; Malandri, Lorenzo; Mercorio, Fabio; Mezzanzanica, Mario; Seveso, Andrea

doi:10.24963/ijcai.2021/708

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Demo Track. Pages 4984-4987.

https://doi.org/10.24963/ijcai.2021/708

Keywords

Natural Language Processing: General
Machine Learning: General
Recommender Systems: General
Human-Computer Interaction: General

Abstract

In this paper, we present Skills2Graph, a tool that, starting from a set of users’ professional skills, identifies the most suitable jobs as they emerge from a large corpus of 2.5M+ Online Job Vacancies (OJVs) posted in three different countries (the United Kingdom, France, and Germany). To this aim, we rely both on co-occurrence statistics - computing a count-based measure of skill-relevance named Revealed Comparative Advantage (rca) - and distributional semantics - generating several embeddings on the OJVs corpus and performing an intrinsic evaluation of their quality. Results, evaluated through a user study of 10 labor market experts, show a high P@3 for the recommendations provided by Skills2Graph, and a high nDCG (0.985 and 0.984 in a [0,1] range), that indicates a strong correlation between the experts’ scores and the rankings generated by Skills2Graph.

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, and Andrea Seveso. 2021. Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4984–4987. https://doi.org/10.24963/ijcai.2021/708

@inproceedings{ijcai2021p708,
  title     = {Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem},
  author    = {Giabelli, Anna and Malandri, Lorenzo and Mercorio, Fabio and Mezzanzanica, Mario and Seveso, Andrea},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4984--4987},
  year      = {2021},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2021/708},
  url       = {https://doi.org/10.24963/ijcai.2021/708},
}

TY  - CPAPER
TI  - Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem
AU  - Giabelli, Anna
AU  - Malandri, Lorenzo
AU  - Mercorio, Fabio
AU  - Mezzanzanica, Mario
AU  - Seveso, Andrea
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4984
EP  - 4987
DO  - 10.24963/ijcai.2021/708
UR  - https://doi.org/10.24963/ijcai.2021/708
ER  -