Search Result Display Emphasis via Popularity Thresholds
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Solution Overview
Problem
Search engines face challenges in presenting relevant user profiles to users based on social affinity, as existing methods do not effectively differentiate between profiles in search results, leading to unnecessary display of uninteresting results and inefficient user interface management.
Innovation Solution
A method that determines popularity and quality differences between user profiles, emphasizing profiles with higher scores by adjusting display area sizes and visibility based on popularity and quality thresholds, and adjusting these thresholds based on search request frequencies and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all user profiles are displayed equally in search results, then completeness of information is improved, but user interface complexity and information overload increase
Solution Approach 1:
The patent applies local quality by differentiating the display treatment of user profiles based on their popularity scores. High-popularity profiles receive enhanced visual presentation (e.g., larger images, prominent positioning) while lower-popularity profiles are displayed in a standard manner. This resolves the contradiction by maintaining complete information display while reducing interface complexity through selective emphasis rather than uniform treatment of all profiles.
Solution Approach 2:
The search results are segmented into different display categories based on popularity thresholds. Profiles exceeding the threshold are placed in a special highlighted section, while others appear in the standard results list. This segmentation reduces perceived interface complexity by organizing information hierarchically while preserving the complete set of search results.
2Ease of operation
If user profiles with high popularity are emphasized in search results, then user experience is improved, but display area requirements increase
Solution Approach 1:
The patent implements partial emphasis by applying enhanced display treatment only to profiles that exceed a dynamically determined popularity threshold, rather than emphasizing all profiles uniformly. This partial action improves user experience by highlighting relevant profiles while avoiding excessive display area consumption that would result from emphasizing all search results equally.
Solution Approach 2:
The popularity threshold is dynamically adjusted based on the distribution of popularity scores in the current search results set. This dynamic threshold ensures that emphasis is applied selectively to truly outstanding profiles while adapting to different query contexts, thereby improving user experience without requiring fixed large display areas.
3Adaptability or versatility
If dynamic threshold adjustment based on search frequency is implemented, then adaptability is improved, but computational complexity increases
Solution Approach 1:
The system implements feedback by monitoring search request frequencies and using this information to dynamically adjust popularity thresholds. When a query type becomes more common, the threshold adapts to reflect the changing user expectations. This feedback mechanism improves adaptability while maintaining reasonable computational complexity by using simple frequency counting and threshold adjustment logic.
Solution Approach 2:
The threshold determination system operates autonomously by automatically analyzing search frequency patterns and adjusting thresholds without requiring manual configuration. This self-service approach improves adaptability to changing user behavior while minimizing computational overhead by using straightforward statistical measures rather than complex machine learning models.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for presenting search results. One of the methods includes obtaining, based on a search request, search results that comprise a first user profile and a second user profile. The method includes determining a popularity difference between a first popularity associated with the first user profile and a second popularity associated with the second user profile. The method includes determining that the popularity difference exceeds a threshold. The method includes based on determining that the popularity difference exceeds the threshold, causing the search results to be presented in a display area such that the first user profile is emphasized relative to the second user profile within the display area.