Category: HAQM Personalize

This blog post was last reviewed or updated April, 2022 with database schema updates. We’re pleased to announce enhancements to recommendation filters in HAQM Personalize, which provide you greater control on recommendations your users receive by allowing you to exclude or include items to recommend based on criteria that you define. For example, when recommending […]

Today’s marketer has a wide array of channels to communicate with their customers. However, sending the right message to the right customer on the right channel at the right time remains the preeminent challenge marketers face. In this post, I show you how to combine Braze, a customer engagement platform built on AWS for today’s […]

This is a guest post by Mark Wood at Pulselive. In their own words, “Pulselive, based out of the UK, is the proud digital partner to some of the biggest names in sports.” At Pulselive, we create experiences sports fans can’t live without; whether that’s the official Cricket World Cup website or the English Premier […]

This blog post was last reviewed or updated April, 2022 with updates to how filters are configured. Today, we are pleased to announce the addition of Recommendation Filters in HAQM Personalize, which improve the relevance of personalized recommendations by filtering out recommendations for products that users have already purchased, videos they have already watched, or […]

This is a guest post by Sam Bean and Nic Roberts II at StockX. In their own words, “StockX is a Detroit startup company revolutionizing ecommerce with a unique Bid/Ask marketplace—our platform models the New York Stock Exchange and treats goods like sneakers and streetwear as high-value, tradable commodities. With a transparent market experience, StockX […]

As the touchpoints customers use to engage with brands move to an increasingly complex mixture of digital and real-life interactions, you’re faced with the daunting task of delighting your customers with personalized experiences that hit the mark across these channels. Customer expectations are evolving as well. Today’s customers quickly lose patience with brands that can’t […]

This is a guest blog post by Sungoh Park, a big data analyst at Lotte Mart. In their own words, “Lotte Mart, a division of Lotte Co., Ltd., is a leading South Korean retailer that sells a variety of groceries, clothing, toys, electronics, and other goods.” Consumers today have many options for purchasing daily necessities; […]

HAQM Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology as used by HAQM.com, without requiring any prior machine learning experience. Using HAQM Personalize, you can generate personalized recommendations for your users through a simple API interface. We are pleased to announce that HAQM Personalize now […]

March 2025: This blog post was reviewed and updated for accuracy HAQM Personalize is a machine learning service which enables you to personalize your website, app, ads, emails, and more, with custom machine learning models which can be created in HAQM Personalize, with no prior machine learning experience. AWS is pleased to announce that HAQM […]

This is a guest blog post by Phil Basford, lead AWS solutions architect, Inawisdom. At re:Invent 2018, AWS announced HAQM Personalize, which allows you to get your first recommendation engine running quickly, to deliver immediate value to your end user or business. As your understanding increases (or if you are already familiar with data science), […]