🚨 Internship alert🚨 The #causalinference research lab @SpotifyResearch is hiring research scientist interns! Come help us push the state-of-the-art in causal machine learning and craft tools to improve actionable decision making. Apply at:

Honoured to have been named AI Person of the Year at the 2024 AI Awards Ireland @AIAwardsIrl for our work in Causal ML @SpotifyResearch

Next week I’ll be chatting to @AleksanderMolak for a live episode of the Causal Bandits podcast. Tune in if you’re interested in hearing about some of these topics👇

If you are attending #CIKM2024 today Oct 23rd, join @sheetskristen in Users & Behavior session (room 120A) at 4:00pm MDT to learn about our paper "PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters" @cikm2024 @SpotifyResearch https://t.co/2m9RLkQZeU

We wrote a post summarizing our #RecSys2024 paper on bridging search and recommendation with generative retrieval 🧵 (1/N) https://t.co/vmG7iLr1Em w. @AliVardasbi, @denadai2, @enricopalumbo91, Hugues Bouchard

Just presented our paper on generative search & recs at #recsys24! 📈Presentation: https://t.co/nbzIqAoGGM 📄Paper: https://t.co/WnBsAmLMjb

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!

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

Super excited to announce that AI Playlist is available today in the US, Canada, Ireland and New Zealand! Converse with Spotify to co-create a perfect playlist for right now or to listen to later!

🚨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.

I am overly excited to share that I will be traveling to Vilnius to attend @ECMLPKDD 2024. I will be presenting our work at Spotify on search and recommendation. This will be my first time attending this conference and visiting Lithuania. https://t.co/wT8JYBdLQ9

Really looking forward to speaking at the #causal AI conference at The Royal Society later in September. I’ll be overviewing some of the latest research from the causal ML lab at @SpotifyResearch.

Also happy to share that "Encouraging Exploration in Spotify Search through Query Recommendations" has been accepted at #RecSys2024 (Industry Track). We explain how query recommendations were rolled in Spotify's Search, resulting in a 9% increase in number of exploratory queries.

Happy to share that "Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?" has been accepted at #RecSys2024. We show that a generative retrieval model leveraging the synergy between search and recommendation outperforms task-specific ones.

Delighted to share the acceptance of our paper "PODTILE: Facilitating Podcast Episode Browsing With Auto-generated Chapters" at #CIKM2024. This work was a great cross-disciplinary collaboration at Spotify.

Did a podcast with LinkedIn CPO @cohentomer. Was a lot of fun to hang out again and talk product, design and AI. Could probably have gone for hours :) Thanks for having me! Full conversation here: https://t.co/GEG4Vbx9ZO

I had a lovely time chatting about all things causal inference on the @AIAwardsIrl podcast. Check it out if you're interested in learning about the problems the Causal Machine Learning research lab @SpotifyResearch is currently tackling 👇

Excited to present recent work from the Causal ML lab @SpotifyResearch, about estimating long-term effects when only short-run experiments are available (work joint w/ @notoriousgvg @lucasmaystre), at the first @nabe_econ Tech Economics Seminar this week.

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

Hot off the press 🔥. Check out @SpotifyResearch blog post on our @WebSciConf paper "A Genre-Based Analysis of New Music Streaming at Scale." @samfway will present this work on Thu, May 23. Link: https://t.co/UujK9MbkYg #recsys #music #popculture #Algorithms #spotify #newmusic