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This week I'm attending #ICLR2024 in Vienna 🇦🇹! Would love to discuss about IR/recsys/fairness/evaluation, or a mix of those 😄

Mau kuliah gratis di Denmark 🇩🇰? 🎓 9 beasiswa S1, S2 dan S3 di Denmark 🧵

Officially a third-year PhD student now 🙈 Time really flies (read: panic sets in). Maybe it's time to get a bit more serious now.

Kodingan riset dan penelitian.

Great analysis on measuring individual fairness for recommender systems by Theresia Veronika Rampisela and call for better aggregation measures to combine relevance and fairness! #sigir2024

"i'll read this paper on the plane"

Just accepted to ACM TSC: Assessing fairness of rankings can be challenging because group fairness measures are often inconsistent. Marlene Lutz, Sandipan Sikdar, Markus Strohmaier and I have taken a closer look into their properties: dl.acm.org/doi/10.1145/36…

Had a wonderful time visiting Fasilkom UI last week, sharing my (ongoing) PhD journey & research with the current master & doctoral students. Glad to catch-up with ex-students, past colleagues, and the lecturers there! Thank you for the interesting discussions! ✨

Excited to announce that earlier this month, I started my 3-month stay as a visiting PhD student at @AdmsCentre at RMIT Centre for Info Discovery & Data Analytics 🇦🇺 Looking forward to collaborating and exploring fairness evaluation with new perspectives! 📷: one of the fanciest campus buildings I've ever seen

.@Theresa_v_r, who is visiting us from University of Copenhagen Research gave a great talk on fairness-aware evaluation of recommender systems

Could only hope that one day, RecSys will be in Bali!

This week I'm attending #recsys2024 conference in Bari, Italy 🇮🇹! Would love to chat about fairness, bias, evaluation, and trustworthy recommender systems ✨

Enjoyed spending the entire Day 1 of #recsys2024 at the Fair Recommendation workshop! ✅ Interesting work on fairness & bias (pictured a few, but there were more!) ✅ Insightful Q&A session ✅ Pretty smooth hybrid set-up ✅ Clear agenda with timings Looking forward to the next edition!

🎙️ Recently had a fun chat about my PhD research with Ali A. Septiandri 🍉 in his podcast! We covered on a high-level our (me+my supervisors) recent TORS & SIGIR papers on #recsys fairness evaluation ⚖️ Check out other interesting eps in the podcast as well! The podcast is in Indonesian.

My amazing colleague Sara Vera Marjanović & I were interviewed about our respective PhD research as part of the ADD project! I talked about fairness in recommender systems and Sara shared about the explainability of LLMs. Read more here: algorithms.dk/2024/11/18/can…

The pre-peer review version of our #ECIR2025 reproducibility work "Are Representation Disentanglement and Interpretability Linked in Recommender Systems? " with Tuukka Ruotsalo, Maria Maistro and Christina Lioma is now on arXiv (arxiv.org/abs/2501.18805).

I've recently put together a "Fairness FAQ": tinyurl.com/fairness-faq. If you work in non-fairness ML and you've heard about fairness, perhaps you've wondered things like what the best definitions of fairness are, and whether we can train algorithms that optimize for it.

This week I'm attending TheWebConf25 in Sydney, Australia 🇦🇺! I'll be presenting our research as a poster & oral presentation this Wednesday and Thursday. More info coming soon 😊 Would be interested to talk about LLM/IR/RecSys fairness/bias/evaluation or a mix of these ✨