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Hit Song Prediction Through Collaboration by yokorniienko.frgf24 is a document available to read on EtoBox.

The thesis presents a multimodal approach to analyze and predict hit songs by fusing features from music, artist, and album. It identifies collaboration profiles within a network of successful artists and examines the causal relationship between these profiles and artist popularity using time series and Granger causality tests. The prediction problem is modeled as two tasks: classification and placement, demonstrating the effectiveness of the proposed method through extensive empirical studies.

Author
yokorniienko.frgf24
Language
EN