Do Sequential Recommendation Benchmarks Require Higher-Order Sequence Modelling?
Bootstrapping Conversational Recommendation Agents at Spotify: Synthetic Data Generation and Self-Improvement Loops
From IR to RecSys: Evaluating LLM-based Judges in Cranfield-style Recommendation Collections
Hypothesis-Driven Shelf Generation for Personalised Recommendation
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsTextual User Taste: Natural-Language User Context for Foundation-Model Recommender System at Scale
G. Fazelnia, P. Gigioli, E. Klyce, S. Zheng, K. Zelvin, Ye Myat Thein, A. Deshpande, S. Davtyan, K. Remeika, M. Hristakeva, E. Franco, K. Banzon, Peng Ge, J. Wood, N. Singh, D. Murgatroyd, M. Lalmas, Y. Raimond, A. Damianou
Supporting Human Memory with Audiobook Recaps: From Quality Discovery to Automatic Prompt Optimization
Ekaterina Garmash, Claudia Hauff, James Jacoby, Gracie Beal, Mounia Lalmas, Paul Bennett
Audio-Based Understanding of Audiobook Narration Appeal
Shahar Elisha, Mariano Beguerisse-Díaz, Emmanouil Benetos
Research Areas
How do we create more personalized experiences? What can we learn about listeners on how they use written language? How do we optimize testing methodologies? Explore all our research areas below.
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We're expanding knowledge of audio and video technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
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