An award-winning AI service that delivers a personalized, relevant experience for every user
Create rich, tailored interactions
Boost usability and user satisfaction with reinforcement learning–based capabilities only available through Azure. Prioritize relevant content, layouts, and conversations through an easy-to-use API. Use Personalizer as a standalone personalization solution or to complement an existing solution—with no machine learning expertise required.
Automatic model optimization based on reinforcement learning, allowing AI to achieve the goals you set
User-friendly interface to monitor and adjust the learning loop according to your parameters and KPIs
Improve user experiences with real-time learning
Give users relevant experiences that improve over time, based on their behavior. Unlike recommendation engines that offer a few options from a large catalog, Personalizer presents the single best outcome for a user, every time they interact with your app.アクションからご覧ください
Get up and running quickly
Embed Personalizer by simply adding two lines of code. Easily inspect the accuracy of predictions and optimize as needed. Personalizer works with your data in any form. Start with no data at all or tap into your existing dataset to jump-start reinforcement learning.
Easily gauge how it’s working
Interpret and evaluate Personalizer through the interface. Validate results by reproducing them, and gauge effectiveness of parameters with a stack-ranked view. For example, evaluate the impact of age, gender, and time of day on content engagement.Evaluate your models
Microsoft invests over USD 1 billion annually on cybersecurity research and development.
3,500 名を超えるセキュリティ エキスパートが、お客様のデータとプライバシーの保護にあたっています。
Azure has more certifications than any other cloud provider. View the comprehensive list.
Take charge with flexible pricing
Pay only for what you use, with no upfront costs. With Personalizer, you pay as you go based on number of transactions.
Personalizer works best when a rank call has 50 or fewer items. To personalize a choice from a larger list or catalog, reduce the number of items by using a recommendation engine or sorting technique.
Personalizer works with or without user sign-in but delivers richer, more relevant interactions for signed-in users.