Dynamic Ad Replacement Based on User Interaction Signals
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Solution Overview
Problem
In online advertising, users are often exposed to irrelevant advertisements on webpages, leading to low click-through rates due to limited ad space, and existing technologies fail to effectively replace ads based on user interaction without refreshing the page or increasing inventory space.
Innovation Solution
A system that receives user feedback to determine disinterest in displayed content items, applies pre-defined rules based on user behavior, and selectively replaces ads with new ones in real-time, using dynamic webpage technology to update the page without affecting other content, thereby optimizing ad space utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ads are displayed on webpages with limited ad space, then the webpage layout is maintained, but the click-through rate decreases due to irrelevant advertisements
Solution Approach 1:
The patent applies dynamics by enabling real-time replacement of advertisements based on user interactions. The system dynamically adjusts ad content in response to user behavior (e.g., scrolling, hovering, clicking), transforming static ad displays into adaptive, interactive elements that can change during the user's webpage session to improve relevance and click-through rates.
Solution Approach 2:
The patent implements feedback mechanisms where user interactions with the webpage (such as scrolling patterns, mouse movements, or lack of engagement) are monitored and used to determine when to replace advertisements. This feedback loop allows the system to respond to user disinterest or engagement levels, replacing ads that are not being interacted with while preserving those that show user interest, thereby improving overall click-through rates.
2Reliability
If advertisements are replaced based on user interaction, then ad relevance improves, but the system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the advertisement system to automatically monitor user interactions and make replacement decisions without requiring manual intervention or complex external processing. The system uses predefined rules and algorithms that autonomously analyze user behavior patterns (such as time spent on page, scrolling behavior, or cursor movements) and automatically determine when to replace ads, reducing the need for complex manual management while maintaining high ad relevance.
Solution Approach 2:
The patent segments the ad replacement system into distinct functional components: user interaction monitoring modules, analysis engines that process interaction data, replacement decision logic based on predefined rules, and ad delivery mechanisms. This segmentation allows each component to handle specific tasks independently, making the overall complex system more manageable and easier to implement while maintaining high ad relevance through coordinated operation of these modular components.
3Productivity
If the webpage is refreshed to replace ads, then new advertisements can be displayed, but the page loading time increases and user experience deteriorates
Solution Approach 1:
The patent segments the webpage into static content areas and dynamic ad insertion zones. Instead of refreshing the entire webpage, the system maintains the static portions (article content, navigation, etc.) while independently managing and replacing ad elements in specific segments. This allows ad replacement to occur without triggering full page reloads, preserving user experience and minimizing time loss while still enabling effective ad inventory utilization through targeted, incremental updates.
Data Source
AI summary
Systems, methods performed by data processing apparatus and computer storage media encoded with computer programs for receiving feedback from a client device at which a presentation page of content items is displayed, the received feedback relating to an affirmative act performed by the user, determining, based at least in part on the received feedback, whether the user is likely to perform a predetermined action relative to one or more of the content items, based on a result of the determining, selectively identifying one or more replacement content items and transmitting the one or more identified replacement content items to the client device for display in the presentation page in place of one or more of the plurality of content items.


