Content Display System Negative Reaction Feedback
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Solution Overview
Problem
Existing content display systems fail to effectively address user negative reactions to advertisements, leading to user dissatisfaction and inefficient advertising campaigns due to repetitive, irrelevant, or offensive content being presented.
Innovation Solution
Incorporating user interface elements that allow users to register negative reactions to content, which are then used to suppress similar content from being displayed to the user and other users with similar characteristics, thereby adjusting content delivery based on user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is allocated based on auction bids without considering user reactions, then advertising revenue is maximized, but user dissatisfaction increases due to repetitive and irrelevant content
Solution Approach 1:
The system incorporates user reaction feedback mechanisms where users can indicate negative reactions to content. This feedback is then processed to adjust future content allocation decisions, creating a closed-loop system that balances revenue generation with user satisfaction by continuously adapting to user preferences
Solution Approach 2:
The content allocation system transitions from static auction-based allocation to dynamic allocation that adapts in real-time based on user reactions. The system adjusts content delivery parameters dynamically, modifying which content is shown to which users based on accumulated feedback data
2Quantity of substance
If similar content is repeatedly displayed to users based on initial auction results, then advertising campaign reach is extended, but efficiency decreases due to disinterested users
Solution Approach 1:
User reaction feedback is collected and analyzed to determine the effectiveness of content impressions. The system uses this feedback to refine targeting parameters, ensuring that future impressions are directed toward users more likely to be interested, thereby improving advertising efficiency while maintaining impression volume
Solution Approach 2:
The system changes targeting parameters based on user feedback data. By adjusting content delivery parameters such as user segments, content types, and delivery timing based on accumulated reaction information, the system optimizes the match between content and interested users
3Object-affected harmful factors
If content suppression based on negative reactions is implemented, then user experience is improved, but advertising revenue may decrease due to reduced content delivery
Solution Approach 1:
Content suppression is applied selectively and locally rather than globally. The system suppresses specific content for specific user segments based on their negative reactions, while continuing to deliver that content to other user segments who have not expressed negative reactions. This localized approach preserves revenue opportunities while improving user experience for affected segments
Data Source
AI summary
Techniques for affecting display of content may include receiving a request for content to supplement a response to an input initiated by a first user; outputting first content in response to the request, where the first content includes a control feature that is displayable along with the first content, and where the control feature enables the first user to register a negative reaction to the first content; obtaining information relating to the first content based on the negative reaction; identifying second content having one or more characteristics in common with the first content; identifying one or more second users having one or more characteristics in common with the first user; and using the information relating to the first content in determining whether to provide the second content to the one or more second users.