Our full paper "Human, Algorithm, or Both? Gender Bias in Human-Augmented Recruiting" with @toinebogers.bsky.social has been accepted for publication at ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2026) #FAccT2026.
Nothing is new in LLM world. It was OpenAI accusing others some months ago, now Anthropic.
📢 First Call for Long / Short / Past, Present and Future papers: ACM #RecSys2026
📄 Details & submission guidelines can be found here:
recsys.acm.org/recsys26/cal...
Can someone explain to me why ACM journals (I am not sure if all does) follow a single-blind review protocol instead of double-blind?
A big academic milestone for me o.o
Covid19 era is a glitch in the matrix, so all the results are just a dream o.O
If you are clearly super sick and has the potential to spread your germs and make other sicks, stay the duck home.
Abstract: In this paper, we cook dinner.
End of Introduction: In this study, we carefully explain step by step instructions to prepare the dish to eat when it gets dark.
Conclusion: In this research, the focus is to say that dinner is cooked by us.
Just let me use the same sentence u.u
I am tempted to simply reject papers based on the fact that they still experiment with Movielens 100K dataset o.O
Excellent news! Our full paper "Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring" (together with @kayamesut.bsky.social) has been accepted for oral presentation at #recsys2025! See you in Prague!
If you are interested in fairness in top-K ranked lists, this paper is very-well written. Their plots are easily reproducible and paper is easy to follow.
I am checking the proceedings of the FAACT'25 conference
dl.acm.org/doi/proceedi...
One of my favourite papers so far is: "hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool" (dl.acm.org/doi/10.1145/...)
Now, you can access our paper "From Queries to Candidates: Exploring Search and Source Interaction Behavior of Recruiters" from ACM digital library with open access. dl.acm.org/doi/full/10....
Mesut Kaya presenting a slide on fairness in candidate recommendation
@kayamesut.bsky.social presenting the work we are doing in the FairMatch project on multi-stakeholder fairness-aware candidate recommendation at the great AI & Labor Market workshop in sunny Ghent!
I am starting to really like this perfectly explained, easy to understand blog posts, videos, interactive learning platforms. Here is one for Entropy:
aatishb.com/entropy/
disclaimer: at least once a year I also join this cult and I hate it :(
My next occupation will be trolling all LinkedIn 'Guru's. I call them "Shameless Self Promotion Cult". Let me ask chatgpt to write a poem.
Am I the only one that hates the posts on LinkedIn like: "Hey being a manager, CTO bla bla I have reviewed thousands of resumes. Here is how you can also be shit"
Scene from The Princess Bride where Vizzinni says "You're trying to kidnap what I've rightfully stolen"
OpenAI right now
Good news. Our paper "From Queries to Candidates: Exploring Search and Source Interaction Behavior of Recruiters" has been accepted as a full paper to CHIIR 25 co-authered with @toinebogers.bsky.social and @maria83.bsky.social More to follow on this later!
How your email finds me
Who broke Overleaf? o.O
Thanks, Derek. 😃
Similar to me, if you are also horrible at English and always forget about different definitions of fairness, this paper is doing an amazing job to explain the nuances, highly suggested to read! www.nature.com/articles/s41...
Hopefully, this platform does not have twitter's (yes it is still twitter for me) dumb recommendation algorithm that prepares the timeline.
