Which scientific innovation significantly improved retail recommendation systems in 2013 by introducing a method to efficiently represent words and relationships in high-dimensional vector spaces?

Science has transformed how retail recommendation systems work, using complex algorithms and machine learning to predict customer preferences. These systems have evolved dramatically from simple collaborative filtering to sophisticated neural networks that can interpret nuanced shopping behaviors. Test your knowledge about the scientific breakthroughs behind the technology that seems to know what you want before you do!

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Word2Vec
Random Forest Algorithm
Gradient Boosting Machines
Long Short-Term Memory Networks