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个性化体验创建服务

Create optimized 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, optimize layouts, and personalize offers with two API calls. Use Personalizer, part of Azure Cognitive Services, as a standalone personalization 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 Personalizer 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

无需机器学习专业知识

Maximize business results with real-time learning

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. Let AI discover what maximizes results to stay on top of changing trends. 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.

Try the interactive demo

快速启动和运行

Embed Personalizer by 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 or tap into an existing dataset to jump-start reinforcement learning. After it's embedded, Personalizer 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.

Configure apprentice mode

很容易判断它的工作方式

通过界面来解释和评估个性化体验创建服务。通过重现结果来验证结果,并使用堆栈排名视图来估计参数的有效性。例如,评估年龄、性别和参与时间对内容参与的影响。

评估模型

Comprehensive security and compliance, built in

利用灵活的定价

仅为你使用的资源付费(无前期成本)。使用个性化体验创建服务,可以根据交易次数按需付款。

Personalizer resources

开始使用

文档

Explore best practices

Responsible implementation guidelines

有关个性化体验创建服务的常见问题解答

  • 请参阅区域可用性
  • 个性化体验创建服务和其他认知服务产品/服务保证 99.9% 的可用性。没有为免费定价层提供 SLA。请参阅 SLA 详细信息
  • 个性化体验创建服务通过向服务发送的相关功能或特性,学习用户的集体行为。它使用此信息来训练共享模型。该模型使用每次交互的信息进行更新,从而改进所有用户的个性化结果。
  • 设置级别调用的项目少于 50 个时,个性化体验创建服务的效果最佳。要从较大的列表或目录中自定义一个选择,请使用推荐引擎或排序技术减少项目数量。

    详细了解可伸缩性和性能

  • Our algorithms and innovation are based on continuous work by Microsoft Research and on applied use of Personalizer in Microsoft businesses such as Xbox and Windows. Learn more about our approaches and reinforcement learning.
  • 不管用户是否登录,个性化体验创建服务均可提供服务,但会为登录用户提供更丰富、更相关的交互体验。
  • 可以。个性化体验创建服务通过学徒模式,在后台实时学习。当服务学习了足够多的用户操作来接近现有的个性化系统后,你就可以放心地在生产中使用个性化体验创建服务,让它通过与用户的交互来学习,并支持积极的用户体验。

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