Real-Time Push Advertising System for Context-Aware Delivery
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Solution Overview
Problem
Conventional online advertising systems face challenges in presenting dynamic and personalized advertisements to specific users, as they often rely on static ad delivery models that do not adapt to changes in user context, page context, or device context, limiting the effectiveness of ad targeting and user engagement.
Innovation Solution
A real-time push advertising system that monitors and responds to changes in online advertising context by pushing updated advertisement content to user computing devices, incorporating user, page, and device context, allowing for dynamic and personalized ad delivery based on real-time data and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static ad delivery model is used, then the system complexity is reduced, but the adaptability to user context changes deteriorates
Solution Approach 1:
The patent introduces a context monitoring service and ad management service as intermediary components between the user device and advertisement delivery system. These services act as mediators that monitor context changes, determine when updates are needed, and manage the pushing of updated advertisements, thereby resolving the contradiction by adding controlled complexity through specialized intermediary components rather than throughout the entire system.
Solution Approach 2:
The user device is equipped with a local ad management service that autonomously monitors context changes and automatically requests and receives updated advertisements when appropriate. This self-service mechanism allows the device to adapt to context changes without requiring constant external control, improving adaptability while keeping the overall system architecture relatively simple.
2Measurement precision
If real-time context monitoring is implemented, then the relevance of advertisements is improved, but the loss of time for data processing increases
Solution Approach 1:
The context monitoring service operates by periodically checking for context changes rather than continuously monitoring all parameters. The system determines whether context has changed and only initiates advertisement update processes when changes are detected, converting continuous monitoring into periodic action to reduce time loss while maintaining detection accuracy.
Solution Approach 2:
The system establishes context monitoring and ad management services in advance that are ready to detect changes and respond immediately when they occur. By having the monitoring infrastructure pre-positioned and ready, the system can detect context changes rapidly without requiring time for setup or initialization when changes actually occur.
3Productivity
If dynamic advertisement pushing is implemented, then the engagement of users is improved, but the quantity of data transmitted increases
Solution Approach 1:
The system pushes updated advertisements selectively based on specific context changes rather than broadcasting updates to all users indiscriminately. Each user receives updates only when their local context warrants it, applying local quality by tailoring the data transmission to individual user needs and context states, thereby improving engagement while minimizing unnecessary data transmission.
Solution Approach 2:
The system implements partial action by pushing only the specific advertisement updates that are necessary based on context changes, rather than transmitting complete advertisement sets or excessive data. The ad management service determines the minimal necessary updates required to maintain relevance, avoiding excessive data transmission while still achieving improved engagement through targeted updates.
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.