Real-Time Push Advertising Context Monitoring
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Solution Overview
Problem
Conventional online advertising systems face challenges in delivering dynamic and personalized advertisements to specific users, as ads remain static once delivered to a user computing device, failing to adapt to changes in user context, page context, or advertisement context.
Innovation Solution
Implementing a real-time push advertising system that monitors and tracks online advertising context, allowing for immediate updates and modifications of advertisements based on detected changes in user, page, or advertisement context, using a server computing device to push new or updated content to user computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advertisements are delivered to user computing devices in conventional online advertising systems, then the advertisements can be displayed to users, but the advertisements remain static and cannot adapt to changes in user context, page context, or advertisement context
Solution Approach 1:
The patent implements a real-time push advertising system that dynamically updates advertisements on user devices based on changing context. The system uses context monitoring to detect changes in user context, page context, or advertisement context, and automatically pushes updated advertisement content to relevant users without requiring them to refresh or revisit the page, making the advertising system adaptive and responsive to real-time conditions.
2Adaptability or versatility
If real-time context monitoring and advertisement updates are implemented, then advertisement relevance and timeliness are improved, but system complexity increases
Solution Approach 1:
The patent introduces a push server as an intermediary component that manages the complexity of real-time advertisement updates. The push server receives context change notifications, determines which advertisements need updating, and pushes the updated content to relevant user devices. This intermediary architecture centralizes the complex logic for context monitoring and advertisement selection, preventing the complexity from being distributed across multiple components and making the system more manageable.
3Productivity
If advertisements are updated in real-time based on performance data, then advertisement effectiveness increases, but the frequency of updates and data processing requirements increase
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors advertisement performance data and uses this information to trigger context-based updates. When performance metrics indicate that an advertisement is underperforming or when contextual changes occur, the system automatically updates the advertisement content and pushes it to relevant users. This feedback-driven approach ensures that updates are triggered only when necessary, optimizing energy consumption while maintaining high advertisement effectiveness.
Data Source
AI summary
Briefly, embodiments disclosed herein may relate to online advertising and may relate, more particularly, pushing advertising content to user computing devices, for example.


