Sep 23, 2025
Personalizing Agentic AI to Users' Musical Tastes with Scalable Preference Optimization
When users ask for “music for a solo night drive through the city,”...
Sep 22, 2025
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Recommending the right short- or long-form video...
Sep 19, 2025
Profile-aware LLM-as-a-Judge for Podcasts: A Better Middle Ground Between Offline Metrics and A/B Tests
Evaluating podcast recommendations is notoriously difficult...
Sep 18, 2025
Semantic IDs for Generative Search and Recommendation
Large Language Model (LLM)-based generative frameworks are transforming how we approach...
Sep 18, 2025
Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
Many recommender systems present multiple items to users at once...
Sep 18, 2025
Calibrated Recommendations with Contextual Bandits on Spotify Homepage
Streaming platforms typically offer a wide variety of content types...
Sep 18, 2025
Generalized user representations for large-scale recommendations
Personalization lies at the heart of the Spotify platform...
Sep 17, 2025
You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify
Personalized recommendations are at the heart of Spotify’s experience...
Sep 16, 2025
AudioBoost: Increasing Audiobook Retrievability in Spotify Search with Synthetic Query Generation
Spotify has recently introduced audiobooks as part of its catalog...
Sep 11, 2025
Beyond the Next Track: Spotify Research at RecSys 2025
At Spotify, we believe recommendation is about more than simply choosing the next track...
Sep 3, 2025
Optimizing Budget Allocation with Theoretical Guarantees and Adaptive Learning
Online platforms, whether for entertainment or other personalized experiences...
Aug 21, 2025
Scaling Transformer-based Text-to-Speech with Knowledge Distillation
Transformer-based models have led to dramatic improvements in text-to-speech (TTS) quality...