130 publications
September 2023 | RecSys

Accelerating Creator Audience Building through Centralized Exploration

Buket Baran, Guilherme Dinis Junior, Antonina Danylenko, Olayinka S. Folorunso, Gösta Forsum, Maksym Lefarov, Lucas Maystre, Yu Zhao

August 2023 | Interspeech

Lightweight and Efficient Spoken Language Identification of Long-form Audio

Winstead Zhu, Md Iftekhar Tanveer, Yang Janet Liu, Seye Ojumu, Rosie Jones

July 2023 | SIGIR

Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments

Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff.

July 2023 | SIGIR

When the Music Stops: Tip-of-the-Tongue Retrieval for Music

Samarth Bhargav, Anne Schuth, Claudia Hauff

July 2023 | SIGIR Industry

Bootstrapping Query Suggestions in Spotify’s Instant Search System

Alva Liu, Humberto Corona Pampin, Enrico Palumbo

July 2023 | KDD

Impatient Bandits: Optimizing for the Long-Term Without Delay

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

July 2023 | KDD

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

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

June 2023 | ICASSP

Contrastive Learning-based Audio to Lyrics Alignment for Multiple Languages

Simon Durand, Daniel Stoller, Sebastian Ewert

May 2023 | CHI

Minimizing change aversion through mixed methods research: a case study of redesigning Spotify’s Your Library

Ingrid Pettersson, Carl Fredriksson, Raha Dadgar, John Richardson, Lisa Shields, Duncan McKenzie

May 2023 | TheWebConf

Improving Content Retrievability in Search with Controllable Query Generation

Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, and Hugues Bouchard

March 2023 | CLeaR - Causal Learning and Reasoning

Non-parametric identifiability and sensitivity analysis of synthetic control models

Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee

March 2023 | CLeaR - Causal Learning and Reasoning

Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding

Graham Van Goffrier, Lucas Maystre, Ciarán Mark Gilligan-Lee

March 2023 | Frontier on Big Data: Recommender Systems

A Survey on Multi-objective Recommender Systems

Dietmar Jannach and Himan Abdollahpouri

March 2023 | Nature Machine Intelligence

Estimating categorical counterfactuals via deep twin networks

Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee

March 2023 | Intelligent User Interfaces (IUI)

Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems

Yu Liang, Aditya Ponnada, Paul Lamere, Nediyana Daskalova

February 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

November 2022 | NeurIPS

Society of Agents: Regrets Bounds of Concurrent Thompson Sampling

Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou

November 2022 | NeurIPS

Temporally-Consistent Survival Analysis

Lucas Maystre, Daniel Russo

November 2022 | NeurIPS

Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders

Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas