Which linguistic processing technique revolutionized retail recommendation systems by allowing algorithms to understand that 'running shoes' and 'athletic footwear' refer to similar products?

In today's digital marketplace, language processing technologies are transforming how retailers understand and serve customers. Sophisticated NLP algorithms power recommendation systems that parse user queries, analyze shopping patterns, and even interpret sentiment. But how much do you know about these linguistic innovations in retail technology? Test your knowledge about where computational linguistics meets consumer experience in this challenging trivia question!

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Word embedding models (like Word2Vec or GloVe) that map semantically similar terms to nearby vectors in multidimensional space
Syntactic parsing frameworks that diagram sentence structure to identify parts of speech and grammatical relationships
Phonological analysis systems that match products based on similar pronunciation patterns regardless of spelling
Morphological stemming algorithms that reduce words to their root forms by removing affixes and suffixes