Amazon Personalize now unlocks information in unstructured text for recommendations
We are excited to announce that Amazon Personalize now enables customers to unlock the information trapped in their product descriptions, reviews, movie synopses or other unstructured text to generate highly relevant recommendations for users. Product descriptions contain important information and insights about products. The investments made to create these narratives enable the creation of more relevant user recommendations for products, movies, TV shows, news articles and more. Customers provide unstructured text as part of their catalog and, using state-of-the-art natural language processing (NLP) techniques, Amazon Personalize automatically extracts key information about the items in your catalog to use when generating recommendations for your users.
We are excited to announce that Amazon Personalize now enables customers to unlock the information trapped in their product descriptions, reviews, movie synopses or other unstructured text to generate highly relevant recommendations for users. Product descriptions contain important information and insights about products. The investments made to create these narratives enable the creation of more relevant user recommendations for products, movies, TV shows, news articles and more. Customers provide unstructured text as part of their catalog and, using state-of-the-art natural language processing (NLP) techniques, Amazon Personalize automatically extracts key information about the items in your catalog to use when generating recommendations for your users.
Amazon Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology as used by Amazon.com, without requiring any prior machine learning experience. To get started with Amazon Personalize, visit our documentation.