473 citations
- Microsoft (United States)US3 papers
- National Institute of Standards and TechnologyUS3 papers
- University College LondonGB3 papers
- University of Maryland, College ParkUS3 papers
- Boise State UniversityUS2 papers
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- Center for Nanoscale Science and TechnologyUS2 papers
- Cornell UniversityUS2 papers
- Drexel UniversityUS2 papers
- Korea Institute of Science and TechnologyKR2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Physical Measurement LaboratoryUS2 papers
4 papers · 1 filter
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning
Federico Tomasi, Joseph Cauteruccio, Surya Kanoria +3
Personalization of playlists is a common feature in music streaming services, but conventional techniques, such as collaborative filtering, rely on explicit assumptions regarding c…
Distributionally-Informed Recommender System Evaluation
Michael D. Ekstrand, Ben Carterette, Fernando Diaz
Current practice for evaluating recommender systems typically focuses on point estimates of user-oriented effectiveness metrics or business metrics, sometimes combined with additio…
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
Thomas M. McDonald, Lucas Maystre, Mounia Lalmas +2
Recommender systems are a ubiquitous feature of online platforms. Increasingly, they are explicitly tasked with increasing users' long-term satisfaction. In this context, we study…
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms
Pu Li, Marie Roch, Holger Klinck +5
Whistle contour extraction aims to derive animal whistles from time-frequency spectrograms as polylines. For toothed whales, whistle extraction results can serve as the basis for a…