Which machine learning technique revolutionized music streaming recommendations around 2015-2017, enabling platforms to better understand context and user preferences?

Streaming platforms have transformed how we discover and consume music, with personalization algorithms playing a crucial role in this evolution. These sophisticated systems analyze your listening patterns to create tailored recommendations that keep you engaged. But how much do you know about the technology powering your daily music discovery? Test your knowledge about the algorithms that shape your musical journey!

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Deep neural networks with word2vec-style embedding
Simple collaborative filtering based solely on purchase history
Bayesian probability models analyzing only genre preferences
Random forest algorithms focused on demographic data