🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📢 SEA is back after the summer break and will be about recommendation! w/ Olivier Jeunen (U. Antwerp) about advances in bandit learning for recommendation & Ben Carterette (Spotify Research) about measuring listener delight. Sign up for the Zoom link: meetup.com/nl-NL/SEA-Sear…

Check our blog post about a recently presented paper at #KDD2021 on "Neural Instant Search for Music and Podcast" from Helia Hashemi (Spotify Research intern), Aasish Pappu (ఆశీష్ పప్పు), Mi Tian, Praveen Chandar, Mounia Lalmas & Ben Carterette. research.atspotify.com/neural-instant…

Applications for summer 2022 internships Spotify Research are open! Apply here or reach out if you have questions lifeatspotify.com/jobs/summer-in…

Many thanks to Praveen Chandar, Christine Hosey, and Brian St. Thomas of Spotify for their excellent presentation and extensive discussion of their work on Mixed Methods Evaluation of Search and Recommendation. An @AdmsCentre Tech Talk, thanks to Danula Hettiachchi for organising.

Interested in knowing how podcast categories affect user listening? Presenting `Understanding user podcast consumption using sequential treatment effect estimation' done with Spotify Research at the #NeurIPS2021 workshop: Causal Inference Challenges in Sequential Decision Making.

"Estimating Long-Term Engagement in Online Experiments using Survival Models" with Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis Ojeda, Tiffany Wu, Ben Carterette Mounia Lalmas and Tony Jebara The Web Conference #WWW2022 (2/4)

Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations from Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catie Edwards, Ben Carterette and Mounia Lalmas The Web Conference #WWW2022 (4/4)

Happy to see the momentum growing. If you are working on Human-AI interaction aspects & implications of generative AI, consider submitting your paper to Michael Muller (he/him) @michaelmuller.bsky.social 's workshop ACM CHI Conference : generativeaiandhci.github.io Deadline: Feb 24

A write-up on "Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations" presented last week at #TheWebConf2022, work led by Zahra Nazari with Praveen Chandar Ghazal Fazelnia Catie Edwards Ben Carterette & Mounia Lalmas. research.atspotify.com/choice-of-impl…

more evidence that metrics matter, folks. for more on on how to design metrics grounded in real tasks, check out these tutorials w chosey, Brian St. Thomas, Praveen Chandar, weird science in the noise. github.com/pchandar/beyon… kdd2021-mixedmethods.github.io github.com/jeanigarcia/re…

"Our goal for Spotify’s ML Platform has always been to create a seamless user experience for ML practitioners who want to take an ML application from development to production..." And so, we introduced ray to our Spotify ecosystem. engineering.atspotify.com/2023/02/unleas…

I’m so proud of the work we’re doing at Spotify, and even more proud of the team I get to grow with through it all. Check out how we’re unleashing ML innovation at Spotify! Keshi Dai David Xia Praveen Chandar BIG shoutout to the Anyscale team for being awesome partners.

Later this week, I'll present "A Probabilistic Position Bias Model for Short-Video Recommendation Feeds" at the Machine learning for Streaming Media workshop at #TheWebConf2023. Here's a video detailing our contributions. See you in Austin! The Web Conference youtube.com/watch?v=iH8Jzb…

Our paper is officially out! "Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners’ Perspective" w/ Lex Beattie & No longer here. 🎉 I'm presenting this paper at The Web Conference tomorrow if you're around! 1/n dl.acm.org/doi/10.1145/35…

I will be presenting our paper "A is for Adele: An Offline Evaluation Metric for Instant Search" w/ Charlie Clarke Ben Carterette Praveen Chandar Claudia Hauff 🇪🇺 🇺🇦 🇩🇪 🇳🇱 today at 13:30 in room 105 on evaluation and classification session. Come join us if you are attending ICTIR 2024 ! #SIGIR2023

We are looking for research scientist interns in the fields of AI, ML, economics, LLMs, recommender systems, speech processing, NLP, or IR. These internships are based in our London office. Apply at lifeatspotify.com/jobs/2024-summ…

We are hiring summer interns to join us Spotify Research . If you are a PhD student in AI (LLMs in particular) and would like to work on cutting edge research, apply to these openings. lifeatspotify.com/jobs/2024-summ…

I’m excited to share our recent research and achievements around LLMs to create personalized narratives at Spotify! Work done w many of my colleagues including the Prolific Team, Divita Vohra Praveen Chandar Tony Jebara Mounia Lalmas ai.meta.com/blog/spotify-p…