arXiv:2401.02827
공식 코드 · Papers with Code
Let's Get It Started: Fostering the Discoverability of New Releases on Deezer
원문 초록
This paper presents our recent initiatives to foster the discoverability of new releases on the music streaming service Deezer. After introducing our search and recommendation features dedicated to new releases, we outline our shift from editorial to personalized release suggestions using cold start embeddings and contextual bandits. Backed by online experiments, we discuss the advantages of this shift in terms of recommendation quality and exposure of new releases on the service.
함께 살펴볼 논문
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Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
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Test-Time Scaling of Diffusion Models via Noise Trajectory Search
Human in the Loop Adaptive Optimization for Improved Time Series Forecasting
Antithetic Sampling for Top-k Shapley Identification
토론
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