Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions
Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas
September 2020 | RecSys
September 2020 | RecSys
Investigating Listeners’ Responses to Divergent Recommendations
Rishabh Mehrotra, Chirag Shah, Benjamin Carterette
September 2020 | RecSys
Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions
Aaron Ng, Rishabh Mehrotra
August 2020 | KDD
Bandit based Optimization of Multiple Objectives on a Music Streaming Platform
Rishabh Mehrotra, Niannan Xue, Mounia Lalmas
August 2020 | KDD
Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization
Rishabh Mehrotra, Ashish Gupta
August 2020 | KDD
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys
Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, James Tin-Yau Kwok, Isabelle Guyon, Qiang Yang
August 2020 | KDD
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions
Praveen Chandar, James McInerney, Brian Brost, Rishabh Mehrotra, Benjamin Carterette
August 2020 | ISMIR - International Society for Music Information Retrieval Conference
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations
Gabriel Meseguer-Brocal, Rachel Bittner, Simon Durand, Brian Brost
August 2020 | Uncertainty in Artificial Intelligence (UAI)
Stochastic Variational Inference for Dynamic Correlated Topic Models
Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas, Zhenwen Dai
July 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
July 2020 | IJCAI - International Joint Conference on Artificial Intelligence
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
Daniel Stoller, Mi Tian, Sebastian Ewert, and Simon Dixon
July 2020 | WCCI/IJCNN - IEEE World Congress on Computational Intelligence / International Joint Conference on Neural Networks
Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks
Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso
July 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
July 2020 | SPPS
“Just The Way You Are”: Linking Music Listening on Spotify and Personality
Ian Anderson, Santiago Gil, Clay Gibson, Scott Wolf, Will Shapiro, Oguz Semerci, David M. Greenberg
July 2020 | Designing Interactive Systems
Using Remote Controlled Speech Agents to Explore Music Experience in Context
Nik Martalero, Sarah Mennicken, Jennifer Thom, Henriette Cramer, Wendy Ju
June 2020 | ICWSM
Local Trends in Global Music Streaming
Samuel F. Way, Jean Garcia Gathright, Henriette Cramer
May 2020 | CHI
Giving Voice to Silent Data: Designing with Personal Music Listening History
Jordan Wirfs-Brock, Sarah Mennicken, Jennifer Thom
April 2020 | ICLR - International Conference on Learning Representations
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators
Daniel Stoller, Sebastian Ewert, Simon Dixon
April 2020 | The Web Conference
Do podcasts and music compete with one another? Understanding music and podcast listening habits
Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin Carterette
April 2020 | The Web Conference
Algorithmic Effects on the Diversity of Consumption on Spotify
Ashton Anderson, Lucas Maystre, Rishabh Mehrotra, Ian Anderson, Mounia Lalmas