Which pioneering NLP technology first enabled major retailers to implement semantic search, allowing customers to find products using natural language queries instead of exact keywords?

The intersection of language technology and retail has transformed how brands communicate with customers. Natural Language Processing (NLP) has revolutionized everything from chatbots to product recommendations. This trivia question explores a groundbreaking linguistic innovation in the retail space that changed how customers interact with products online. Test your knowledge about the evolution of language technology in the retail industry!

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Word2Vec, developed in 2013, which mapped words to vectors based on contextual similarity
LSTM (Long Short-Term Memory) networks from 2015, which tracked sequential word patterns in search queries
PageRank algorithm adapted for product catalogs in 2010, which ranked products based on linguistic relevance
Latent Semantic Analysis (LSA) from 2008, which identified hidden relationships between search terms and product descriptions