Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments
Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff.
148 publications
July 2023 | SIGIR
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
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
September 2022 | RecSys
Challenges in Translating Research to Practice for Evaluating Fairness & Bias in Recommendation Systems
Lex Beattie, Dan Taber, Henriette Cramer
September 2022 | RecSys
Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy
Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed Aslam
September 2022 | Interspeech
Unsupervised Speaker Diarization that is Agnostic to Language Overlap Aware and Free of Tuning
M Iftekhar Tanveer, Diego Casabuena, Jussi Karlgren, Rosie Jones