Publication Category - Spotify Research : Spotify Research

October 2024 | CIKM

PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters

A. Ghazimatin, E. Garmash, G. Penha, K. Sheets, M. Achenbach, O. Semerci, R. Galvez, M. Tannenberg, S. Mantravadi, D. Narayanan, O. Kalaydzhyan, D. Cole, B. Carterette, A. Clifton, P. N. Bennett, C. Hauff, M. Lalmas-Roelleke

October 2024 | Journal of Online Trust & Safety

Algorithmic Impact Assessments at Scale: Practitioners’ Challenges and Needs

Amar Ashar, Karim Ginena, Maria Cipollone, Renata Barreto, Henriette Cramer

May 2024 | The Web Conference

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou

May 2024 | The Web Conference (GFM workshop)

Towards Graph Foundation Models for Personalization

Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas

April 2024 | ICLR

In-context Exploration-Exploitation for Reinforcement Learning

Zhenwen Dai, Federico Tomasi, Sina Ghiassian

November 2023 | ACM TORS

Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely-Armed Bandit Strategy

Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed Aslam

October 2023 | CIKM

Graph Learning for Exploratory Query Suggestions in an Instant Search System

Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan

September 2023 | CLEF

Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research

Ekaterina Garmash, Edgar Tanaka, Ann Clifton, Joana Correia, Sharmistha Jat, Winstead Zhu, Rosie Jones, Jussi Karlgren

September 2023 | RecSys

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 | Nature Machine Intelligence

Machine Learning

PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters

Algorithmic Impact Assessments at Scale: Practitioners’ Challenges and Needs

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

Towards Graph Foundation Models for Personalization

In-context Exploration-Exploitation for Reinforcement Learning

Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely-Armed Bandit Strategy

Graph Learning for Exploratory Query Suggestions in an Instant Search System

Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research

Accelerating Creator Audience Building through Centralized Exploration

Lightweight and Efficient Spoken Language Identification of Long-form Audio

Impatient Bandits: Optimizing for the Long-Term Without Delay

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

Contrastive Learning-based Audio to Lyrics Alignment for Multiple Languages

Non-parametric identifiability and sensitivity analysis of synthetic control models

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

Estimating categorical counterfactuals via deep twin networks

Calibrated Recommendations as a Minimum-Cost Flow Problem

Society of Agents: Regrets Bounds of Concurrent Thompson Sampling

Temporally-Consistent Survival Analysis

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

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