Brian Brost

According to our database, Brian Brost authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adversarial Learning for Cross Domain Recommendations.

Pan Li, Brian Brost, Alexander Tuzhilin

ACM Trans. Intell. Syst. Technol., February, 2023

2021

Shifting Consumption towards Diverse Content on Music Streaming Platforms.

Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas

Proceedings of the WSDM '21, 2021

2020

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation.

Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.

James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Data Cleansing with Contrastive Learning for Vocal Note Event Annotations.

Gabriel Meseguer-Brocal, Rachel M. Bittner, Simon Durand, Brian Brost

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Query Understanding for Surfacing Under-served Music Content.

Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

The Music Streaming Sessions Dataset.

Brian Brost, Rishabh Mehrotra, Tristan Jehan

Proceedings of the World Wide Web Conference, 2019

2017

Multileaving for Online Evaluation of Rankers.

Brian Brost

Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), 2017

2016

An Improved Multileaving Algorithm for Online Ranker Evaluation.

Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Multi-Dueling Bandits and Their Application to Online Ranker Evaluation.

Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016