
The 4th Workshop on Recommender Systems for Human Resources. October at the ACM RecSys 2024 Conference in Bari, Italy (and online!) #RecSys2024
Bari, Italy
Joined February 2021
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During the opening we announced the launch of a Research Topic (~special issue) on RecSys in HR at @FrontiersIn Big Data. Authors past and present, please consider submitting your (extended) workshop publication! #CFP and details here: frontiersin.org/research-top…
We have landed at our final session of the day: The panel. We have @SilviaEcclesia, Vincent Slot (@Textkernel) join us virtually, and @TommasoDiNoia in person joining the panel, moderated by @JensJorisDC! #RecSys2024
"Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems" presented by Kento Nakada (Sony Network Communications).
Paper: ceur-ws.org/Vol-3788/RecSysH…
Video: recsyshr.aau.dk/wp-content/u…
"Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation" presented by @Avature's Daniel Deniz:
Paper: ceur-ws.org/Vol-3788/RecSysH…
Video: recsyshr.aau.dk/wp-content/u…
Our final paper presentation of the day, before we move to the panel: "A Dynamic Jobs-Skills Knowledge Graph" presented by Sarah Toh. Get the paper: ceur-ws.org/Vol-3788/RecSysH…
Laura Vásquez-Rodríguez presents "Hardware-effective Approaches for Skill Extraction in Job Offers and Resumes" after the coffee break. See the paper here: ceur-ws.org/Vol-3788/RecSysH… #RecSys2024
Next, @JensJorisDC presents "On the Biased Assessment of Expert Finding Systems" work from @ugent and @techwolfbe: ceur-ws.org/Vol-3788/RecSysH…
Liyasi Wu of @Indeed presents their paper: "Pseudo-online Measurement of Retrieval Recall for Job Recommendations – A case study at Indeed" Read the paper here: ceur-ws.org/Vol-3788/RecSysH… #RecSys2024
Next up, Federico Retyk of @Avature presents "MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations." Read the paper here: ceur-ws.org/Vol-3788/RecSysH…
First up "Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval" from folks at Malt. See their paper: ceur-ws.org/Vol-3788/RecSysH… #RecSys2024









