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Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations., , , , and . WWW, page 1256-1267. ACM, (2019)Quantifying Biases in Online Information Exposure., , , and . J. Assoc. Inf. Sci. Technol., 70 (3): 218-229 (2019)ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics., , , , , , , , , and 2 other author(s). CoRR, (2024)Query Understanding for Surfacing Under-served Music Content., , , , , , and . CIKM, page 2765-2772. ACM, (2020)Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing., , , and . WWW, page 2936-2945. ACM, (2022)Algorithmic Effects on the Diversity of Consumption on Spotify., , , , and . WWW, page 2155-2165. ACM / IW3C2, (2020)Overview of the INitiative for the Evaluation of XML Retrieval (INEX) 2003., , and . INEX, page 1-11. (2003)“Engage moi”: From retrieval effectiveness, user satisfaction to user engagement.. EGC, volume E-33 of Revue des Nouvelles Technologies de l'Information, page 1-2. Éditions RNTI, (2017)Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay., , , , and . KDD, page 1687-1697. ACM, (2023)Neural Instant Search for Music and Podcast., , , , , and . KDD, page 2984-2992. ACM, (2021)