AWS Machine Learning Blog
Tag: HAQM Personalize
Deliver personalized marketing with HAQM Bedrock Agents
In this post, we demonstrate a solution using HAQM Bedrock Agents, HAQM Bedrock Knowledge Bases, HAQM Bedrock Developer Experience, and HAQM Personalize that allow marketers to save time and deliver efficient personalized advertising using a generative AI enhanced solution. Our solution is a marketing agent that shows how HAQM Personalize can effectively segment target customers based on relevant characteristics and behaviors. Additionally, by using HAQM Bedrock Agents and foundation models (FMs), our tool generates personalized creative content specifically tailored to each purpose. It customizes the tone, creative style, and individual preferences according to each customer’s specific prompt, providing highly customized and effective marketing communications.
Provide a personalized experience for news readers using HAQM Personalize and HAQM Titan Text Embeddings on HAQM Bedrock
In this post, we show how you can recommend breaking news to a user using AWS AI/ML services. By taking advantage of the power of HAQM Personalize and HAQM Titan Text Embeddings on HAQM Bedrock, you can show articles to interested users within seconds of them being published.
Using A/B testing to measure the efficacy of recommendations generated by HAQM Personalize
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. HAQM Personalize allows you to easily add sophisticated personalization capabilities to your applications by using the same ML technology used on HAQM.com for […]
Introducing Recommendation Filters in HAQM Personalize
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 […]
Pioneering personalized user experiences at StockX with HAQM Personalize
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 […]
Introducing recommendation scores in HAQM Personalize
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 […]
HAQM Personalize can now use 10X more item attributes to improve relevance of recommendations
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 […]