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Multi-Stakeholder Music Recommendation System by rafael is a document available to read on EtoBox.

This paper proposes a deep learning model called a "two-tower neural network" for multi-objective, multi-stakeholder music recommendation. The model learns user satisfaction objectives in one tower and artist objectives like acquiring new fans in another tower. It shares information between the towers to improve predictive performance for both stakeholders

Author
rafael
Language
EN