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!

  • [PDF] M. de Groot, J. Schutte, and D. Graus, “Job posting-enriched knowledge graph for skills-based matching,” in Workshop on recommender systems for human resources (recsys in hr), 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 = {Workshop on Recommender Systems for Human Resources (RecSys in HR)},
    numpages = {9},
    location = {Amsterdam, Netherlands},
    address = {Amsterdam, Netherlands},
    month={10},
    series = {CEUR Workshop Proceedings},
    url = {https://ceur-ws.org/Vol-2967/paper_3.pdf},
    }
  • [PDF] D. Lavi, V. Medentsiy, and D. Graus, “Consultantbert: fine-tuned siamese sentence-bert for matching jobs and job seekers,” in Workshop on recommender systems for human resources (recsys in hr), 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},
    numpages = {8},
    booktitle = {Workshop on Recommender Systems for Human Resources (RecSys in HR)},
    location = {Amsterdam, Netherlands},
    address = {Amsterdam, Netherlands},
    month={10},
    series = {CEUR Workshop Proceedings},
    url = {https://ceur-ws.org/Vol-2967/paper_8.pdf},
    }

Curious to know what they’re about? I tweet better than I blog ๐Ÿ‘‡

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!

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