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: https://t.co/W9gPJ2bSAb

And that's a wrap! Yesterday we held our 4th @RecSysHR workshop at @ACMRecSys #RecSys2024! Thanks to all paper authors, panelists, presenters, and attendees for making our workshop a success!

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

"Enhancing Reliability in Recommendation Systems: Beyond point estimations to monitor population stability" by Yingshi Chen, Mohit Jain, Vaibhav Sawhney and Liyasi Wu @indeed Paper:

"Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations" by Roan Schellingerhout Paper:

"Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems" presented by Kento Nakada (Sony Network Communications). Paper: https://t.co/fHo0LxKOUF Video: https://t.co/c5ZFlVSy9Y

"Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation" presented by @Avature's Daniel Deniz: Paper: https://t.co/jgU6kaba0Y Video: https://t.co/lq32gtq1Jn

Reminder, next to the 6 papers presented at our workshop, there are 4 more accepted papers published on our website including videos, check them out in the thread below:

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: https://t.co/z32uatinkw

Laura Vásquez-Rodríguez presents "Hardware-effective Approaches for Skill Extraction in Job Offers and Resumes" after the coffee break. See the paper here: https://t.co/9qBlAI9cjs #RecSys2024

Next, @JensJorisDC presents "On the Biased Assessment of Expert Finding Systems" work from @ugent and @techwolfbe: https://t.co/wMA3BIcDD8

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: https://t.co/SbcNUV9y77 #RecSys2024

They study the entity linking problem in HR systems, noting there are no standard evaluation benchmarks, enter MELO: 48 datasets for multilingual Entity Linking of occupations in 21 languages into ESCO occupations. Get MELO here:

Next up, Federico Retyk of @Avature presents "MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations." Read the paper here: https://t.co/vjzb8mVxwh

First up "Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval" from folks at Malt. See their paper: https://t.co/f1UkBMZfzg #RecSys2024

Special announcement! We have opened a Research Topic in @FrontiersIn Big Data: https://t.co/W9gPJ2bSAb Authors past and present are encouraged to submit their publications!

We have started! Mesut opens our workshop at @ACMRecSys #RecSys2024! 🙌

Today is the day! Our 4th Workshop on Recommender Systems for Human Resources will kick off at 14:30 Bari Time today! Ahead of our workshop, the proceedings are published in CEUR. Check them out here: https://t.co/bjq9QjOaSV

We have shared the list of invited panelists! Excited to hear expert insights from @HilkeSchellmann (@nyuniversity), @silviaecclesia (@NTNU), Vincent Slot (@Textkernel) and @TommasoDiNoia (@PolibaOfficial). For more details on our panel and panelists, see: https://t.co/wiI3JztYYb

🚀 Join our free Masterclass on algorithmic hiring to explore AI in recruitment and address discrimination risks. Ideal for senior product managers, developers, HR professionals. 📷October 25, 2024, at Randstad Head Office, Diemen. Register now: