Andreas Damianou
@adamianou
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Sr. Manager / Lab Lead @Spotify. Previously @Amazon, MSR. Working on #MachineLearning.
Cambridge, England
Joined February 2010
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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It’s been one year since we launched Audiobooks for Spotify Premium users and it’s been really cool to watch the excitement from both listeners and authors grow. A few things to share: 💰 We’ve already paid hundreds of millions to publishers, and are excited about the all the
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Just presented our paper on generative search & recs at #recsys24! 📈Presentation: https://t.co/nbzIqAoGGM 📄Paper: https://t.co/WnBsAmLMjb
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Thrilled to share our research at Spotify as a keynote speaker at RecSys in beautiful Bari! It is an honour to present at a conference so closely aligned with our work. Thank you for the invitation—truly a privilege and a pleasure! #RecSys2024 @SpotifyResearch
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🚨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.
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Come and work with us! We’re looking for a SL (~Assoc. Prof.) to join our #NLProc group. If you want more info about the post, drop me a message or email.
🚀Exciting opportunity!🚀 Join us as a Senior Lecturer (Associate Prof.) in NLP!🌟 Lead innovative research, collaborate in a supportive environment, and enjoy life in the vibrant city of Sheffield! 🏙️📚💡#NLProc @shefcompsci Details: https://t.co/ruvYF5rtcJ Deadline: 6 Oct 2024
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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 🎉
Waiting for #kdd2024 what’s better than Barça 🔴🔵 game? Thanks @Fra_Fabbri @SpotifyResearch for the invite!
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Happy to share our latest blog post on our paper "Socially-Motivated Music Recommendation" presented at #ICWSM2024 this week. This work explores an alternative music recommendation task and its relation to cultural differences in music listening. https://t.co/oUPnbjRgng
research.atspotify.com
Socially-Motivated Music Recommendation | Spotify Research
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Delighted to share Generative Query Recommendations via LLMs. We show how LLMs enhance web search by improving queries in the absence of query logs. @enricopalumbo91, @adamianou, @ntonellotto, @fabreetseo. https://t.co/U5Cqezxps0 Work done prior to joining Amazon.
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Opportunity to work with the amazing @nikaletras on a timely and important topic!
Job opportunity @SheffieldNLP 🚨: I'm looking for a #postdoc (24 months) in #NLProc The (very) broad topic is on addressing LLMs limitations (e.g. hallucinations, "reasoning", interpretability etc.) If you are interested drop me an email or DM Apply: https://t.co/HLvMSf9TBw
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Check out the blog post of our #TheWebConference papers on "Personalizing Audiobooks and Podcasts with graph-based models", describing a big step towards a graph-based, foundation model tailored to the personalization domain, from research to roll-out 🚀 https://t.co/yMdetCKaQS
research.atspotify.com
Personalizing Audiobooks and Podcasts with graph-based models | Spotify Research
Delighted to share that our paper "Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks" has been accepted to #TheWebConf2024! We introduce 2T-HGNN, a scalable recommendation system powering personalized audiobook recommendations on Spotify.
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Oh yes, amazing paper! Congratulations!
The #AISTATS2024 Test of Time Award for the most impactful AISTATS 2014 paper goes to Rajesh Ranganath, Sean Gerrish, and David Blei for "Black Box Variational Inference". Many thanks to the awards committee, and congratulations!
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I am thrilled to be joining @czi and leading our AI strategy to determine how we utilize one of the world’s largest computing systems dedicated to nonprofit AI for life science research. We are assembling a world class research team for generative AI x Science to build large
Exciting AI news! 📌 @Tkaraletsos join @cziscience as Head of AI 📌 We're forming an AI Advisory Group with academic + industry leaders 📌 We're launching an AI residency program More on how we're leveraging AI to accelerate science ⬇️
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The manuscript for our paper to be presented @TheWebConf - thanks for sharing @_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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We're looking for research interns to work with us at Spotify in the areas of AI, ML, IR, LLMs, Gen AI, recommender systems, speech processing, NLP, or economics. The interns will be based in our London office. Apply here: https://t.co/pq9CAna7mq - applications close March 15th.
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Yet more GNNs deployed all around us: https://t.co/fL2mlm4TpX
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🚀 Dive into the future of data science at #DSA2024Nyeri! Join us at @DeKUTkenya for an inspiring summer school from June 3rd to 5th. Explore cutting-edge topics including LLMs, and edge ML. Don't miss out - #RegisterNow and unlock your potential! https://t.co/8Yz9AoVzrs 🔥
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Was really great spending time with @mignano on-air! 🎙️ Got pretty deep into what product development in an AI world means and how we think about it at Spotify. But also touched on a few more philosophical questions around AI and it’s risks and benefits which I rarely get to talk
"The AI is the product." Always a pleasure speaking with @Spotify's co-president/CPO/CTO, @GustavS, who delivered a perfect lesson on the future of AI in this long form conversation. I've had the pleasure of knowing and learning from Gustav for many years, yet even I picked a
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So excited about the outcome of our team work - we productionized a #GNN powering Spotify's audiobook recommendations and will present the science behind the model @TheWebConf #TheWebConf2024! Congratulations to my amazing coauthors!
Delighted to share that our paper "Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks" has been accepted to #TheWebConf2024! We introduce 2T-HGNN, a scalable recommendation system powering personalized audiobook recommendations on Spotify.
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I'm hiring! I'm building 4 research groups under me at AISI (formerly the UK's Taskforce on Frontier AI) to work on foundational AI safety research. [1/5] https://t.co/ysfhP1R3cc
gov.uk
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