Building a customized recommender system in Amazon SageMaker

Favorite Recommender systems help you tailor customer experiences on online platforms. Amazon Personalize is an artificial intelligence and machine learning service that specializes in developing recommender system solutions. It automatically examines the data, performs feature and algorithm selection, optimizes the model based on your data, and deploys and hosts the

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Shared by AWS Machine Learning August 24, 2020

Relevance tuning with Amazon Kendra

Favorite Amazon Kendra is a highly accurate and easy-to-use enterprise search service powered by machine learning (ML). As your users begin to perform searches using Amazon Kendra, you can fine-tune which search results they receive. For example, you might want to prioritize results from certain data sources that are more

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Shared by AWS Machine Learning August 21, 2020

The fastest driver in Formula 1

Favorite This blog post was co-authored, and includes an introduction, by Rob Smedley, Director of Data Systems at Formula 1 Formula 1 (F1) racing is the most complex sport in the world. It is the blended perfection of human and machine that create the winning formula. It is this blend

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Shared by AWS Machine Learning August 20, 2020

Using A/B testing to measure the efficacy of recommendations generated by Amazon Personalize

Favorite Machine learning (ML)-based recommender systems aren’t a new concept, but developing such a system can be a resource-intensive task—from data management during training and inference, to managing scalable real-time ML-based API endpoints. Amazon Personalize allows you to easily add sophisticated personalization capabilities to your applications by using the same

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Shared by AWS Machine Learning August 20, 2020

Amazon Personalize can now create up to 50% better recommendations for fast changing catalogs of new products and fresh content

Favorite Amazon Personalize now makes it easier to create personalized recommendations for fast-changing catalogs of books, movies, music, news articles, and more, improving recommendations by up to 50% (measured by click-through rate) with just a few clicks in the AWS console. Without needing to change any application code, Amazon Personalize

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Shared by AWS Machine Learning August 17, 2020