Which NLP advancement revolutionized retail recommendation systems around 2018-2019 by better understanding contextual language patterns?

Natural language processing (NLP) has transformed how retailers understand and respond to customer preferences. Modern recommendation systems use sophisticated linguistic analysis to interpret customer queries, reviews, and social media content. This poll tests your knowledge about how language technology shapes personalized shopping experiences and the evolution of these systems in the retail space.

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• BERT (Bidirectional Encoder Representations from Transformers)
• Word2Vec
• GloVe (Global Vectors for Word Representation)
• Doc2Vec

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