Which NLP innovation has most dramatically improved retail recommendation systems by understanding the semantic context of product reviews?

Natural Language Processing (NLP) has transformed how retail recommendation systems understand customer preferences and behavior. By analyzing linguistic patterns in reviews, search queries, and social media, retailers can now predict consumer needs with unprecedented accuracy. This trivia question explores how language technology is reshaping the retail landscape and creating more personalized shopping experiences through advanced language understanding capabilities.

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BERT (Bidirectional Encoder Representations from Transformers)
Basic keyword counting algorithms
Simple sentiment analysis (positive/negative classification)
Rule-based grammar checkers