Search & Recommendations

59 publications
April 2020 | The Web Conference Companion

Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems

Kevin Roitero, Ben Carterrete, Rishabh Mehrotra, Mounia Lalmas

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

July 2019 | RecSys

Recommendations in a Marketplace

Rishabh Mehrotra, Benjamin Carterette

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

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