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個人化工具

提供個人化使用者體驗的 AI 服務

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

不需要任何機器學習專長

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

快速啟動並執行

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

輕鬆量測其運作方式

透過介面解譯和評估個人化工具。藉由重現結果來進行驗證,並使用堆疊排名檢視來量測參數有效性。例如,評估年齡、性別與日期時間對內容參與的影響。

評估您的模型

Comprehensive security and compliance, built in

利用彈性的定價

用多少付多少,不用預付金。使用個人化工具時,只需依據交易數隨用隨付。

Personalizer resources

開始使用

文件

Explore best practices

Responsible implementation guidelines

個人化工具常見問題集

  • 個人化工具及其他認知服務供應項目均保證正常運作時間達 99.9%。免費定價層不提供 SLA。請參閱 SLA 詳細資料
  • 個人化工具透過您傳送到服務的使用者特徵或屬性,從使用者的集體行為中學習。其使用這份資訊來訓練共用模型,模型以來自每次互動的資訊更新,從而改善所有使用者的個人化成果。
  • 當順位呼叫的項目為 50 個以下時,個人化工具可以達到最佳成效。若要從較大的清單或目錄中提供個人化的選擇,請使用建議引擎或排序技術來減少項目數。

    深入了解延展性和效能

  • 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.
  • 無論使用者是否登入,都可使用個人化工具,但針對登入的使用者,會提供更豐富、更相關的互動。
  • 可以。個人化工具會即時透過新手模式,在背景中學習。當服務從使用者動作學習的成效足以媲美現有個人化系統時,您就可以放心地在實際執行環境中使用個人化工具,使其透過與使用者互動來學習,並支援正面的使用者體驗。

當您一切準備就緒之後,就能開始設定您的 Azure 免費帳戶