Deep Learning in Music Recommendation Systems

Deep Learning in Music Recommendation Systems

Like in many other research areas, deep learning (DL) is increasingly adopted in music recommendation systems (MRS). Deep neural networks are used in this domain particularly for extracting latent factors of music items from audio signals or metadata and for learning sequential patterns of music ite...

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Bibliographic Details
Main Author: Markus Schedl
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
music
recommender systems
music information retrieval
deep learning
neural networks
sequence-aware recommendation
Online Access:https://www.frontiersin.org/article/10.3389/fams.2019.00044/full

Internet

https://www.frontiersin.org/article/10.3389/fams.2019.00044/full

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