Search Result Adaptation via User Dismissal Feedback
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Solution Overview
Problem
Current search engines do not effectively adapt to user dismissal actions, leading to irrelevant search results being prominently displayed, which can frustrate users by not reflecting their decreasing interest in certain search result categories.
Innovation Solution
A method that modifies search results based on user dismissal actions, such as scrolling or swiping away, by demoting or omitting search results associated with specific entities, while maintaining relevance of other search results, by altering display parameters like dimming or hiding, to better align results with user interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If search results are initially displayed without modification, then all relevant search results are provided to the user, but users experience frustration when irrelevant results remain prominently displayed despite their decreasing interest
Solution Approach 1:
The search results are made dynamic by continuously monitoring user interactions (scrolling, swiping, hovering) and automatically adjusting the display in real-time. The system transitions from a static initial display to a dynamic modified display that adapts to user interest changes, resolving the contradiction between providing comprehensive results and maintaining user experience.
Solution Approach 2:
The system implements feedback mechanisms where user dismissal actions (scrolling past, swiping away, hovering) are detected and fed back into the search result modification process. This feedback loop enables the search engine to learn user preferences and adjust result prominence accordingly, improving both adaptability and ease of operation.
2Adaptability or versatility
If search results are modified based on dismissal actions, then user interest is better reflected, but the system complexity increases due to monitoring and processing user interactions
Solution Approach 1:
The search system performs self-service by automatically detecting and processing user dismissal actions without requiring explicit user input or configuration. The system monitors user behavior patterns (scrolling, swiping, hovering) and autonomously modifies search results, reducing the need for complex user-side processing while maintaining high adaptability.
Solution Approach 2:
The system manages complexity by changing display parameters (prominence, positioning, visibility) of search results based on detected user interactions. Rather than fundamentally restructuring the search system, it modifies existing display parameters dynamically, achieving adaptability with minimal increase in system complexity.
3Loss of information
If all search results are displayed with equal prominence, then complete information is provided, but relevant results may be overlooked due to irrelevant results occupying visible space
Solution Approach 1:
The search results apply local quality by differentiating the display characteristics of different search results based on their relevance and user interest. Instead of uniform treatment, the system applies varying prominence levels to different results, making relevant results stand out while maintaining the ability to access complete information, thus addressing both information completeness and relevance detection.
Data Source
AI summary
Methods and apparatus for modifying search results based a dismissal action associated with one or more of the search results by a user to whom the search results are presented. Initially provided search results may include at least a first set of search results that are associated with a first entity and a second set of search results that are associated with a second entity. In response to a dismissal action associated with one or more of the search results of the first set, the initial search results may be modified to demote and/or omit one or more search results of the first set. The user may be provided with the modified search results.