Which linguistic technology has most significantly improved product recommendation personalization in multilingual e-commerce platforms?

In the digital age, e-commerce platforms use sophisticated linguistic algorithms to personalize user experiences. These systems analyze language patterns, search queries, and browsing behavior to tailor content and product recommendations. This poll tests your knowledge about how language processing technologies are revolutionizing online retail personalization.

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Neural Machine Translation (NMT) with semantic understanding
Basic keyword matching across language dictionaries
Statistical Part-of-Speech (POS) tagging systems
Phonetic pattern recognition algorithms