The DOI matches its Crossref record.
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem
Open accessAbstract
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“To avoid or mitigate this problem, upskilling and reskilling processes seem to be crucial for training and support ing employees (Giabelli et al., 2021).”
From The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023) · cites this paper as Giabelli et al., 2021
Citations
Cited by
Sorted by citations
The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations
Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023) · Informing Science: The International Journal of an Emerging Transdiscipline · doi:10.28945/5078 · Cited by 439
“To avoid or mitigat e this problem, upskilling and reskilling processes seem to be crucial for training and support ing employees (Giabelli et al., 2021).”
Background
Metadata
- Authors
- Giabelli, A., Malandri, L., Mercorio, F., Mezzanzanica, M., & Seveso, A.
- Affiliations
- University of Milano-Bicocca (IT)
- Corresponding author
- Giabelli, Anna
- Venue
- Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
- Published
- 2021-08
- Pages
- 4984-4987
- OpenAlex
- W3189496555
- Cited by
- 7
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 2 · 2022: 1
- FWCI
- 1.04
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Joint Conference on Artificial Intelligence (publishedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- job recommendation, revealed comparative advantage, co-occurrence analysis, distributional semantics, word embeddings, labor market, user study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. https://app.cochat.ai/papers/10.24963/ijcai.2021/708
- The paper
- Giabelli, A., Malandri, L., Mercorio, F., Mezzanzanica, M., & Seveso, A. (2021). Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2021/708
