What is Azure Personalizer?
Personalizer, available on Microsoft's Azure platform of cloud services and applications, is a personalization engine used to boost conversion and engagement, and add real-time relevance to product recommendations, with reinforcement learning–based capabilities available only through Azure. Users can select content, optimize layouts, and personalize offers with two API calls. Part of Azure Cognitive Services, Personalizer can be used as a standalone personalization solution or to complement existing ranking engines with no machine learning expertise required.
Users can give customers relevant experiences that improve over time based on their behavior. Improve click-through on home pages, create personalized channels, or optimize coupon offers and terms. Its AI is used to discover what maximizes results to stay on top of changing trends. Unlike recommendation engines that offer a few options from a large catalog, Personalizer aims to present the single best outcome for a user every time they interact with an app.
Users can give customers relevant experiences that improve over time based on their behavior. Improve click-through on home pages, create personalized channels, or optimize coupon offers and terms. Its AI is used to discover what maximizes results to stay on top of changing trends. Unlike recommendation engines that offer a few options from a large catalog, Personalizer aims to present the single best outcome for a user every time they interact with an app.
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Technical Details
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FAQs
What is Azure Personalizer?
Personalizer, available on Microsoft's Azure platform of cloud services and applications, is a personalization engine used to boost conversion and engagement, and add real-time relevance to product recommendations, with reinforcement learning–based capabilities available only through Azure. Users can select content, optimize layouts, and personalize offers with two API calls. Part of Azure Cognitive Services, Personalizer can be used as a standalone personalization solution or to complement existing ranking engines with no machine learning expertise required.




