Intelligent content delivery for a content management system
The content delivery framework optimizes update frequency and caching strategies using machine learning to enhance user engagement and resource efficiency by personalizing update intervals and response levels based on user interaction and context.
WO2025208570A1 Publication Date: 2025-10-09MICROSOFT TECHNOLOGY LICENSING LLC +9
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Patent Information
- Application Number
- PCT/CN2024/086169
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-04-04
- Publication Date
- 2025-10-09
AI Technical Summary
Technical Problem
Existing content delivery systems fail to optimize update frequency and caching strategies on a user-by-user basis, leading to inefficient resource utilization and reduced user satisfaction due to unnecessary updates and wasted computing resources.
Method used
A content delivery framework that uses machine learning models to select personalized update intervals and response levels based on user interaction data and context, optimizing resource usage by switching users between default and treatment options when engagement uplift exceeds a threshold.
Benefits of technology
Enhances user engagement with content while minimizing resource consumption by dynamically adjusting update intervals and response levels, thus improving resource efficiency and user satisfaction.
✦ Generated by Eureka AI based on patent content.
Abstract
A content delivery framework for a content management system enables update intervals and response levels for delivering a personalized content feed to users to be selected on a user-by-user basis based on user activity and context data. The framework relies on the designation of two possible update interval options: a default update interval option and a shorter interval option. The framework also relies on the designation of two possible response levels: a partial response and a full response. The framework uses machine learning (ML) models to select an update interval option and a response level option for each user to use in delivering content to the user.
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