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Showing results for tags 'personalize'.
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Amazon Personalize has extended support for unstructured text in six new languages - Spanish, German, French, Portuguese, Chinese (Simplified and Traditional) and Japanese. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Last year, Amazon Personalize launched support for unstructured text in English which enabled customers to unlock the information trapped in their product descriptions, reviews, movie synopses or other unstructured text to generate highly relevant recommendations for users. Amazon Personalize is now extending this support to unstructured text in six new languages allowing customers with global catalogues to use this feature. Customers provide unstructured text as a part of their catalogue and, using state-of-the-art natural language processing (NLP) techniques, Amazon Personalize automatically extracts key information about the items and uses it when generating recommendations for your users. View the full article -
Amazon Personalize now provides offline model metrics for recommenders enabling you to evaluate the quality of recommendations. A recommender is a resource that provides recommendations optimized for specific use cases, such as “Frequently bought together” for Retail and “Top picks for you” for Media and Entertainment. Offline metrics are metrics that Amazon Personalize generates when you create a recommender. You can use offline metrics to analyze the performance of the recommender's underlying model. Offline metrics allow you to compare the model with other models trained on the same data. The metrics provided include coverage, mean reciprocal rank, normalized discounted cumulative gain (NDCG) and precision. View the full article
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We are excited to announce efficiency improvements for Amazon Personalize that decrease the time required to train models by up to 40% and reduce the latency for generating real-time recommendations by up to 30%. Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required. Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models. View the full article
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