Which NLP technology, introduced in 2018, dramatically improved retail recommendation systems by better understanding the contextual relationship between words in customer queries?

Natural Language Processing (NLP) has transformed how retailers interact with customers through recommendation systems and virtual assistants. These AI systems analyze linguistic patterns, understand contextual meanings, and process semantic nuances to provide personalized shopping experiences. Test your knowledge about a groundbreaking NLP technology that revolutionized retail recommendation systems and forever changed how we interact with online stores.

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BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec (Word to Vector)
GloVe (Global Vectors for Word Representation)
ELMo (Embeddings from Language Models)