Personaliser

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

Apprentice mode provides a smooth transition by only letting Personaliser interact with users after the service reaches a level of confidence in matching the performance of your existing solution

User-friendly interface to monitor and adjust the learning loop according to your parameters and KPIs

No machine-learning expertise required

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.

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 you are an existing dataset to jump-start reinforcement learning.

Once embedded, Personaliser can skip the learning curve with apprentice mode. When the feature is switched on, the service learns alongside your existing solution without being exposed to users until it meets your performance threshold.

See more about apprentice mode

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.

Evaluate your models

The largest compliance portfolio in the industry

  • Microsoft invests more than USD 1 billion annually on cybersecurity research and development.

  • We employ more than 3,500 security experts completely dedicated to your data security and privacy.

  • Azure has more compliance 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.

Personaliser resources and documentation

Get up and running with Personaliser

Read the documentation

Start coding with C# | Node.js | Python

Explore best practices and concepts

Learn how to use Personaliser responsibly to deliver a positive experience for your users.

Learn More
  • 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.

    Learn more about scalability and performance

  • Our algorithms and innovation are based on continuous work by Microsoft Research and on applied use of Personaliser in Microsoft businesses such as Xbox and Windows. Learn more about our approaches and reinforcement learning.
  • 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.

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