AWSrecommendationai

AmazonPersonalize是一項ML服務,可協助開發人員快速建置和部署具有即時個人化和使用者區隔的自訂推薦引擎。,Thepipelinecreatespersonalizedrecommendationsbasedonauser'sprofileandbehaviortoimprovethecustomerexperience.Guidance ...,2022年11月14日—Inthispost,weshowyouhowtoarchitectnearreal-timepersonalizedrecommendationsusingAmazonPersonalizeandAWSpurpose-builtdata ...,2023年11月26日—AmazonPersonalizeis...

推薦系統

Amazon Personalize 是一項ML 服務,可協助開發人員快速建置和部署具有即時個人化和使用者區隔的自訂推薦引擎。

Personalization

The pipeline creates personalized recommendations based on a user's profile and behavior to improve the customer experience. Guidance ...

Architecting near real

2022年11月14日 — In this post, we show you how to architect near real-time personalized recommendations using Amazon Personalize and AWS purpose-built data ...

Amazon Personalize now creates themes for ...

2023年11月26日 — Amazon Personalize is excited to announce Content Generator, a new generative AI powered capability that makes recommendations more ...

Amazon Personalize

Amazon Personalize is an ML service that helps developers quickly build and deploy a custom recommendation engine with real-time personalization and user ...

Creating a recommendation engine using Amazon ...

2019年6月13日 — At re:Invent 2018, AWS announced Amazon Personalize, which allows you to get your first recommendation engine running quickly, to deliver ...

AI recommendations for descriptions in Amazon DataZone ...

2023年11月28日 — Amazon DataZone AI recommendations for descriptions are available in preview in Amazon DataZone domains provisioned in the following AWS Regions ...

What is Amazon Personalize?

Amazon Personalize is a fully managed machine learning service that uses your data to generate item recommendations for your users.

Amazon Personalize and generative AI

Amazon Personalize Content Generator, with the help of generative AI, can add engaging themes to batch recommendations for related items. Content Generator is a ...

Building a Recommendation System using AWS Personalize

Amazon Personalize is a cloud-based and fully managed recommendation service that we can use to train and deploy custom recommendation systems for a wide range ...