Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems
Kevin Roitero, Ben Carterrete, Rishabh Mehrotra, Mounia Lalmas
Search & Recommendations
59 publications
April 2020 | The Web Conference Companion
September 2019 | ACM Transactions on Intelligent Systems and Technology
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation
Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen
July 2019 | SIGIR
Developing Evaluation Metrics for Instant Search Using Mixed Methods
Praveen Chandar, Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Jennifer Thom
May 2019 | The Web Conference
Search Mindsets: Understanding Focused and Non-Focused Information Needs in Music Search
Ang Li, Jennifer Thom, Praveen Chandar, Christine Hosey, Brian St. Thomas, Jean Garcia-Gathright.
April 2019 | CHI
Just give me what I want: How people use and evaluate music search
Christine Hosey, Lara Vujovic, Brian St. Thomas, Jean Garcia-Gathright, Jennifer Thom
March 2019 | The Web Conference
The Music Streaming Sessions Dataset
Brian Brost, Rishabh Mehrotra, Tristan Jehan
March 2019 | The Web Conference
Deriving User- and Content-specific Rewards for Contextual Bandits
Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas
March 2019 | The Web Conference
Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations
Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian
February 2019 | WSDM
Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms
Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney,Samantha Hansen, Damien Tardieu, Ben Carterette
October 2018 | CIKM
Estimating clickthrough bias in the cascade model
Praveen Chandar, Ben Carterette
October 2018 | CIKM
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems
Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz
October 2018 | RecSys
Explore, Exploit, Explain: Personalizing Explainable Recommendations with Bandits
James McInerney, Ben Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra
September 2018 | RecSys
Recsys Challenge 2018: Automatic Music Playlist Continuation
Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani
August 2018 | SIGIR
Offline comparative evaluation with incremental, minimally-invasive online feedback
Ben Carterette, Praveen Chandar
August 2018 | SIGIR
Understanding and Evaluating User Satisfaction with Music Discovery
Jean Garcia-Gathright, Brian St. Thomas, Christine Hosey, Zahra Nazari, Fernando Diaz
April 2018 | IJMIR - International Journal of Multimedia Information Retrieval
Current challenges and visions in music recommender systems research
Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi
September 2017 | Multimedia Tools and Applications
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales
Cedric De Boom, Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester, Bart Dhoedt
December 2014 | NIPS Workshop on Distributed Matrix Computations
Logistic Matrix Factorization for Implicit Feedback Data
Chris Johnson