Publications

Sep 11, 2025|RecSys CONSEQUENCES Workshop
Calibrated Recommendations with Contextual Bandits
Diego Feijer, Himan Abdollahpouri, Sanket Gupta, Alexander Clare, Yuxiao Wen, Todd Wasson, Maria Dimakopoulou, Zahra Nazari, Kyle Kretschman, Mounia Lalmas
Sep 11, 2025|RecSys
Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stål, Mounia Lalmas
Sep 9, 2025|RecSys
Generalized User Representations for Large-Scale Recommendations and Downstream Tasks
Ghazal Fazelnia, Sanket Gupta, Claire Keum, Mark Koh, Timothy Heath, Guillermo Carrasco Hernández, Stephen Xie, Nandini Singh, Ian Anderson, Maya Hristakeva, Petter Pehrson Skidén, Mounia Lalmas
Aug 5, 2025|KDD
An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify
Shivam Verma, Vivian Chen, Darren Mei
Jul 8, 2025|ICWSM
Link Me Baby One More Time: Social Music Discovery on Spotify
Shazia'Ayn Babul, Desislava Hristova, Antonio Lima, Renaud Lambiotte, Mariano Beguerisse-Díaz
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

Explore our publications and scientific contributions

Calibrated Recommendations with Contextual Bandits

Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge

Generalized User Representations for Large-Scale Recommendations and Downstream Tasks

An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify

Link Me Baby One More Time: Social Music Discovery on Spotify

Exploiting Sequential Music Preferences via Optimisation-Based Sequencing

Impatient Bandits: Optimizing for the Long-Term Without Delay

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

A Survey on Multi-objective Recommender Systems

Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems

Calibrated Recommendations as a Minimum-Cost Flow Problem

Temporally-Consistent Survival Analysis

Multistate analysis with infinite mixtures of Markov chains

Time after Time: Longitudinal Trends in Nostalgic Listening

The Dynamics of Exploration on Spotify

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

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

Modeling Language Usage and Listener Engagement in Podcasts

Where To Next? A Dynamic Model of User Preferences

Collaborative Classification from Noisy Labels