Abstract
Generally, the present disclosure is directed to determining an optimal level of music variation in an assortment of music such as, for example, a music streaming service. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal level of music variation based on historical level of music variation preferences and/or listening data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Price, Thomas, "Configuring Music Variation in a Music Compilation", Technical Disclosure Commons, (December 07, 2017)
https://www.tdcommons.org/dpubs_series/876
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