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    Publications

    Explore our publications and scientific contributions

    • Oct 23, 2023|CIKM

      Exploiting Sequential Music Preferences via Optimisation-Based Sequencing

      Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas

    • Jul 23, 2023|KDD

      Impatient Bandits: Optimizing for the Long-Term Without Delay

      Thomas McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek

    • Jul 19, 2023|KDD

      Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

      Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai

    • Mar 23, 2023|Frontier on Big Data: Recommender Systems

      A Survey on Multi-objective Recommender Systems

      Dietmar Jannach and Himan Abdollahpouri

    • Mar 21, 2023|Intelligent User Interfaces (IUI)

      Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems

      Yu Liang, Aditya Ponnada, Paul Lamere, Nediyana Daskalova

    • Feb 21, 2023|WSDM

      Calibrated Recommendations as a Minimum-Cost Flow Problem

      Himan Abdollahpouri, Zahra Nazari, Alex Gain,Clay Giibson, Maria Dimakopoulou, Jesse Anderton, Benjamin Carterette, Mounia Lalmas, Tony Jebara

    • Nov 18, 2022|NeurIPS

      Temporally-Consistent Survival Analysis

      Lucas Maystre, Daniel Russo

    • Aug 2, 2022|UAI

      Multistate analysis with infinite mixtures of Markov chains

      Lucas Maystre, Tiffany Wu, Roberto Sanchis-Ojeda, Tony Jebara

    • Jun 7, 2022|ICWSM

      Time after Time: Longitudinal Trends in Nostalgic Listening

      Clara Hanson, Jesse Anderton, Samuel F. Way, Ian Anderson, Scott Wolf, Alice Wang

    • Jun 7, 2022|ICWSM

      The Dynamics of Exploration on Spotify

      Lillio Mok, Samuel F. Way, Lucas Maystre, Ashton Anderson

    • Apr 26, 2022|The Web Conference (WWW)

      Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing

      Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas

    • Mar 18, 2022|Intelligent User Interfaces (IUI)

      TastePaths: Enabling deeper exploration and understanding of personal preferences in recommender systems

      Savvas Petridis, Nediyana Daskalova, Sarah Mennicken, Samuel F. Way, Paul Lamere, Jennifer Thom

    • Jul 26, 2021|ACL

      Modeling Language Usage and Listener Engagement in Podcasts

      Sravana Reddy, Mariya Lazarova, Yongze Yu, Rosie Jones

    • Apr 19, 2021|The Web Conference

      Where To Next? A Dynamic Model of User Preferences

      Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas

    • Apr 12, 2021|AISTATS

      Collaborative Classification from Noisy Labels

      Lucas Maystre, Nagarjuna Kumarappan, Judith Bütepage, Mounia Lalmas

    • Sep 22, 2020|RecSys

      Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

      Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas

    • Sep 22, 2020|RecSys

      Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions

      Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas

    • Sep 22, 2020|RecSys

      Investigating Listeners’ Responses to Divergent Recommendations

      Rishabh Mehrotra, Chirag Shah, Benjamin Carterette

    • Jul 25, 2020|SIGIR

      Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste

      Zahra Nazari, Christophe Charbuillet, Johan Pages, Martin Laurent, Denis Charrier, Briana Vecchione, Ben Carterette

    • Jul 13, 2020|EC

      The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify

      David Holtz, Benjamin Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral

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