Francesco Fabbri

ML Research Scientist @Spotify. Personalization & GenAI. Previously: @eurecat_news, @Huawei, @UnivHelsinkiCS

[Francesco Fabbri @Fra_Fabbri]

Just 2 days ago, we posted the preprint on arXiv. What better way to share the news than getting @_akhaliq to tweet about it?🚀🎉

Check it out!

[AK @_akhaliq]

Spotify presents Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to its vast user base. While promising, this

[Gustav Söderström @GustavS]

The teams really pulled out all the stops this year. We hope you like it! ❤️

[Gustavo Penha @_Guz_]

Excited to share our paper “Semantic IDs for Joint Generative Search & Recommendation” @ RecSys'25

🧠 Jointly fine-tuning embeddings for both tasks → shared Semantic IDs that work for search and recs ⚖️
📦 No more task-specific trade-offs!

[Gustavo Penha @_Guz_]

Happy to share our #recsys25 paper: “Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge”.

🧠 90 days of listening → natural-language user profiles → LLM judges alignment
📊 Aligns with human eval.

With amazing Spotify co-authors.
📄 https://t.co/JpdOLQ3yRs

[Marco De Nadai @denadai2]

What if we could use off-the-shelf Multimodal Large Language Model to enrich current video recommendation models?

This is what we asked ourselves in our recent #recsys2025 paper https://t.co/1dqzYgM8LR
🧵

[Sumit @_reachsumit]

Semantic IDs for Joint Generative Search and Recommendation

@_Guz_ et al. at Spotify introduce a bi-encoder model fine-tuned on both search and recommendation tasks to obtain item embeddings, followed by construction of unified Semantic ID space.

📝https://t.co/mTERH16wib

[Sumit @_reachsumit]

Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge

Spotify introduces a profile-aware LLM framework for evaluating personalized podcast recommendations using natural-language user profiles distilled from listening history.

📝https://t.co/Rk8qUS0V2P

[Marco Minici @FractalZucky]

Can we effectively detect covert Information Operations (IOs) that attempt to manipulate socio-political debates on social media?

This is the focus of our work, "IOHunter: Graph Foundation Model to Uncover Online Information Operations", just presented at the @RealAAAI

[Konstantina Palla @konstantina_pll]

Internship opportunity at Spotify!

PhD students, come join our Tech Research Team in London.

When: June-August 2025
Last day to apply is *February 6th, 2025* at 5 PM GMT.

Apply here https://t.co/yt1b1O1iVo

[Luca Luceri @LucaLuceri]

What a Christmas gift🎁In our latest @RealAAAI paper, we integrate our coordination detection model with the power of LLMs & GNNs to enhance the generalizability of information operation (IO) detection in data-scarce scenarios and unseen IOs. Kudos to @FractalZucky and our🌠team!

[Francesco Fabbri @Fra_Fabbri]

🚀🚀🚀

[Marco Minici @FractalZucky]

"IOHunter: Graph Foundation Model to Uncover Online Information Operations" goes to @RealAAAI '25!
This is the result of an incredible collaboration with @LucaLuceri @Fra_Fabbri and @emilio__ferrara

Read the entire thread for a brief explanation and the link to the preprint.

[Manoel @manoelribeiro]

I am recruiting 1-2 PhD students for Fall 2025 at Princeton to work on Comp Social Science/Societal Impact of GenAI/GenAI for SocSci

I wrote a bit about my research flavor & interests here: https://t.co/0OwgldYvzw

Deadline: December 15th (https://t.co/6OfaoapjVj)

Please boost!

[Serina Chang @serinachang5]

📢 I’m recruiting PhD students for Fall'25 in @Berkeley_EECS or @UCJointCPH! Please apply if you have related interests in AI for social good / networks / public health / social science

See my website for more on my research and how to apply: https://t.co/MXaEvdWnnZ

Please RT!

[Mounia Lalmas @mounialalmas]

It was a true honour to present our research at Spotify during #RecSys2024. Sharing our work in such a unique theatre setting was an unforgettable experience. Thank you to everyone involved!

[Andy Arditi @andyarditi]

Our paper on refusal in LLMs is finally up on arXiv.

[Giuseppe Manco @beman70]

🎉Excited to share: "Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences". Joint work with
@EricaCoppolillo, @simone_mungari, @EttoreRitacco, @Fra_Fabbri, @FractalZucky, @FrancescoBonchi

https://t.co/sC5maK9GFo

[Luca Luceri @LucaLuceri]

Uncovering Coordinated Cross-Platform Information Operations Threatening the Integrity of the 2024 U.S. Presidential Election Online Discussion
w/ @emilio__ferrara @FractalZucky @Federico_Cinus

View our findings here: https://t.co/gCKR96dZYi

[Andreas Damianou @adamianou]

🚨Hiring alert!
My team @SpotifyResearch is looking to hire a research scientist with a machine learning background! Come help us improve personalization experiences by integrating innovative generative AI technologies into our recommender systems. https://t.co/hPwvZo7SYP

[Kiran Garimella @gvrkiran]

Video data is widely available but has been difficult to analyze automatically

Particularly, TV data is a rich and important source of information for millions.

We have a paper at #KDD2024 making such data accessible.

Paper: https://t.co/WL6IUL88Zd

[Francesco Fabbri @Fra_Fabbri]

@PolarBearby and @FrancescoBonchi kicking off @kdd_news 2024 in Barcelona

#KDD2024

[Francesco Fabbri @Fra_Fabbri]

Super excited to welcome @kdd_news in Barcelona 🚀

I’ll be at the conference this week, so feel free to ping me to talk about GNNs, GenAI for recs or anything Barcelona related 🎉

[Francesco Bonchi @FrancescoBonchi]

Waiting for #kdd2024 what’s better than Barça 🔴🔵 game? Thanks @Fra_Fabbri @SpotifyResearch for the invite!