Which NLP-based personalization technology was first widely adopted by major online retailers to analyze customer reviews and provide personalized product recommendations?

Natural Language Processing (NLP) has transformed how retail companies personalize customer experiences. From chatbots to recommendation systems, linguistic technology helps companies understand customer preferences and deliver tailored experiences. This trivia question explores how linguistic personalization technology evolved in the retail space. Test your knowledge about the intersection of language technology and retail personalization!

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Sentiment Analysis engines (2009-2010)
GPT-based recommendation systems (2012-2013)
BERT-powered review summarizers (2015-2016)
Transformer-based preference predictors (2007-2008)