An AI service that delivers a personalised user experience
Create optimised user experiences
Boost conversion and engagement and add real-time relevance to product recommendations, with reinforcement learning–based capabilities available only through Azure. Select hero content, optimise layouts and personalise offers with two API calls. Use Personaliser, part of Azure Cognitive Services, as a standalone personalisation solution or to complement existing ranking engines—with no machine learning expertise required.
Improve recommendations, next best actions and content offers
Use apprentice mode to validate whether Personaliser can match the results of your existing solution
Monitor and adjust the learning loop according to your parameters and KPIs with the user-friendly interface
No machine learning expertise required
Maximise business results with real-time learning
Give customers relevant experiences that improve over time based on their behaviour. Improve click-through on home pages, create personalised channels or optimise coupon offers and terms. Let AI discover what maximises results to stay on top of changing trends. Unlike recommendation engines that offer a few options from a large catalogue Personaliser presents the single best outcome for a user every time they interact with your app.
Get up and running quickly
Embed Personaliser by adding two lines of code. Easily inspect the accuracy of predictions and optimise as needed. Personaliser works with your data in any form. Start with no data or tap into an existing dataset to jump-start reinforcement learning. After it is embedded, Personaliser can skip the learning curve. When you turn on apprentice mode, the service learns alongside your existing solution without being exposed to users until it meets your performance threshold.
Easily gauge how it is working
Interpret and evaluate Personaliser 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.
Comprehensive security and compliance, built in
Microsoft invests more than USD 1 billion annually on cybersecurity research and development.
We employ more than 3,500 security experts dedicated to data security and privacy.
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 Personaliser, you pay as you go based on number of transactions.
Frequently asked questions about Personaliser
Personaliser and other Cognitive Services offerings guarantee 99.9-percent availability. No SLA is provided for the Free pricing tier. See the SLA details.
Personaliser learns from the collective behaviour of users, through the features or attributes about them that you send to the service. It uses this information to train a shared model that is updated with information from every interaction, improving personalisation outcomes for all users.
Personaliser works best when a rank call has 50 or fewer items. To personalise a choice from a larger list or catalogue, reduce the number of items by using a recommendation engine or sorting technique.
Personaliser works with or without user sign-in but delivers richer, more relevant interactions for signed-in users.
Yes. Personaliser learns in the background, in real time, via apprentice mode. When the service has learned enough from users' actions to approximate your existing personalisation system, you can use Personaliser in production with confidence to let it learn by interacting with your users and support a positive user experience.