Francesco Fabbri

368 posts

Francesco Fabbri

Francesco Fabbri

@Fra_Fabbri

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

Barcellona, Spagna Katılım Haziran 2013
652 Takip Edilen593 Takipçiler
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Francesco Fabbri
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

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Gustav Söderström
Gustav Söderström@GustavS·
The teams really pulled out all the stops this year. We hope you like it! ❤️
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Gustavo Penha
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!
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Gustavo Penha
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. 📄 arxiv.org/abs/2508.08777
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Marco De Nadai
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 arxiv.org/pdf/2508.09789 🧵
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Sumit
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. 📝arxiv.org/abs/2508.10478
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Sumit
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. 📝arxiv.org/abs/2508.08777
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Marco Minici
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
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Konstantina Palla
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 lifeatspotify.com/jobs/2025-summ…
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Luca Luceri
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!
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.

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Manoel
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: manoelhortaribeiro.github.io/advising Deadline: December 15th (#prospective" target="_blank" rel="nofollow noopener">cs.princeton.edu/grad#prospecti…) Please boost!
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Serina Chang
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: serinachang5.github.io Please RT!
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Mounia Lalmas
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!
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Andy Arditi
Andy Arditi@andyarditi·
Our paper on refusal in LLMs is finally up on arXiv.
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Andreas Damianou
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. lifeatspotify.com/jobs/research-…
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Kiran Garimella
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: gvrkiran.github.io/content/TV_Deb…
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Keşfet

@_Guz_ @RealAAAI @FractalZucky @Berkeley_EECS @UCJointCPH @EricaCoppolillo @simone_mungari @EttoreRitacco