Which NLP innovation revolutionized retail recommendation systems in 2018-2019 by dramatically improving the understanding of customer intent in search queries?

Natural Language Processing (NLP) has transformed how retailers understand and serve their customers. Modern recommendation systems no longer just track purchase history - they analyze linguistic patterns in reviews, search queries, and customer service interactions to predict preferences with remarkable accuracy. Test your knowledge about how language technology is reshaping the retail recommendation landscape.

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BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec embedding algorithms
RNN (Recurrent Neural Network) sequence models
LSTM (Long Short-Term Memory) networks