AWS News Blog
Category: Amazon Personalize
AWS Week in Review – January 16, 2023
Today, we celebrate Martin Luther King Jr. Day in the US to honor the late civil rights leader’s life, legacy, and achievements. In this article, Amazon employees share what MLK Day means to them and how diversity makes us stronger. Coming back to our AWS Week in Review—it’s been a busy week! Last Week’s Launches […]
AWS Week in Review – August 15, 2022
I love the AWS Twitch channel for watching interesting online live shows such as AWS On Air, Containers from the Couch, and Serverless Office Hours. Last week, AWS Storage Day 2022 was hosted virtually on the AWS Twitch channel and covered recent announcements and insights that address customers’ needs to reduce and optimize storage costs and build data resiliency […]
Now available: Batch Recommendations in Amazon Personalize
Today, we’re very happy to announce that Amazon Personalize now supports batch recommendations. Launched at AWS re:Invent 2018, Personalize is a fully-managed service that allows you to create private, customized recommendations for your applications, with little to no machine learning experience required. With Personalize, you provide the unique signals in your activity data (page views, […]
Amazon Personalize is Now Generally Available
Today, we’re happy to announce that Amazon Personalize is available to all AWS customers. Announced in preview at AWS re:Invent 2018, Amazon Personalize is a fully-managed service that allows you to create private, customized personalization recommendations for your applications, with little to no machine learning experience required. Whether it is a timely video recommendation inside […]
Amazon Personalize – Real-Time Personalization and Recommendation for Everyone
Machine learning definitely offers a wide range of exciting topics to work on, but there’s nothing quite like personalization and recommendation. At first glance, matching users to items that they may like sounds like a simple problem. However, the task of developing an efficient recommender system is challenging. Years ago, Netflix even ran a movie […]