An award-winning AI service that delivers a personalised, relevant experience for every user
Create rich, tailored interactions
Boost usability and user satisfaction with reinforcement learning–based capabilities only available through Azure. Prioritise relevant content, layouts and conversations through an easy-to-use API. Use Personaliser as a standalone personalisation solution or to complement an existing solution – with no machine learning expertise required.
Automatic model optimisation based on reinforcement learning, allowing AI to achieve the goals you set
No machine-learning expertise required
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 behaviour. 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.See it in action
Get up and running quickly
Embed Personaliser by simply 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 at all or tap into your existing dataset to jump-start reinforcement learning.
Easily gauge how it’s 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.Evaluate your models
Security for the enterprise
Microsoft invests over USD 1 billion annually on cybersecurity research and development.
We employ more than 3,500 security experts focused on securing your data and privacy.
Azure has more certifications than any other cloud provider. View the comprehensive list.
Take charge with flexible pricing
Only pay 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 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’s 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.