Two papers accepted at the RecSys in HR Workshop!

Happy to have learned we have two papers accepted at the first Recommender Systems in Human Resources Workshop, co-located with ACM RecSys 2021! These papers are the first academic publications of the Data Science Chapter at Randstad Groep Nederland!

• M. de Groot, J. Schutte, and D. Graus, “Job posting-enriched knowledge graph for skills-based matching,” in Recsys in hr 2021, Amsterdam, Netherlands, 2021.
  [Bibtex]

  @inproceedings{degroot2021job,
  author = {de Groot, Maurits and Schutte, Jelle and Graus, David},
  title = {Job Posting-Enriched Knowledge Graph for Skills-based Matching},
  year = {2021},
  booktitle = {RecSys in HR 2021},
  numpages = {9},
  location = {Amsterdam, Netherlands},
  address = {Amsterdam, Netherlands},
  month={10}
  }

• D. Lavi, V. Medentsiy, and D. Graus, “Consultantbert: fine-tuned siamese sentence-bert for matching jobs and job seekers,” in Recsys in hr 2021, Amsterdam, Netherlands, 2021.
  [Bibtex]

  @inproceedings{lavi2021consultantbert,
  author = {Lavi, Dor and Medentsiy, Volodymyr and Graus, David},
  title = {conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers},
  year = {2021},
  booktitle = {RecSys in HR 2021},
  numpages = {8},
  location = {Amsterdam, Netherlands},
  address = {Amsterdam, Netherlands},
  month={10}
  }

Curious to know what they’re about? I tweet better than I blog 👇

✌️ In "conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers" we fine-tune a siamese SBERT model for matching resumes to vacancy texts using a high-quality dataset of over 270k resume-vacancy pairs labeled by our staffing consultants. It works ✅! pic.twitter.com/iZRzicZE9F

— David Graus (@dvdgrs) August 23, 2021

Stay tuned for pre-prints! See the other accepted papers here.

Disclaimer: yes, I co-organize the workshop, but I was not involved with reviewing/decisions, we have a great (and independent) Program Committee for that!