Search Result Visual Configuration Adaptation
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Solution Overview
Problem
Conventional search engine systems inaccurately determine user interactions with search results due to varying methods of accessing the system, leading to incorrect query-specific ranking (QSR) for future similar searches, resulting in inefficiencies and resource waste.
Innovation Solution
The system tracks user interactions and adjusts the visual configuration of search results based on the properties of the client device accessing the search engine, maintaining relevance rank order while allowing for different visual arrangements, such as non-columnar or non-row arrangements, and using machine-learned algorithms to update interaction data without affecting relevance rankings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the search engine uses a single visual configuration for search results, then the system complexity is reduced, but user interaction efficiency deteriorates across different device types
Solution Approach 1:
The patent implements dynamic visual configuration of search results by detecting client device properties (mobile, tablet, desktop) and automatically adjusting the layout arrangement. The system transitions from a static single configuration to multiple adaptive configurations based on device characteristics, thereby improving user interaction efficiency without requiring manual intervention for each device type
Solution Approach 2:
The patent changes visual parameters (layout arrangement, columnar vs non-columnar, row-based positioning) based on detected device properties. By modifying these presentation parameters according to the client device type, the system optimizes user experience for each device category while maintaining a unified underlying search result dataset
2Reliability
If the search engine tracks user interactions to improve QSR, then search accuracy improves, but measurement precision deteriorates due to incorrect interaction detection from varying access methods
Solution Approach 1:
The patent applies different visual configuration rules to different device categories (mobile, tablet, desktop). By tailoring the layout presentation to each device type's characteristics, the system ensures that interaction tracking captures meaningful user behavior patterns specific to each platform, thereby improving the precision of interaction measurements while enhancing overall search accuracy
Solution Approach 2:
The system continuously tracks user interactions with search results and uses this feedback to refine query-specific ranking. The improved visual configuration ensures that interaction data collected from different device types accurately reflects user intent, which then feeds back into improving search result ranking accuracy for future queries
3Reliability
If the search engine presents results in relevance rank order only, then the ranking accuracy is maintained, but adaptability to different device characteristics deteriorates
Solution Approach 1:
The patent segments the presentation layer into multiple visual configurations corresponding to different device categories. The underlying search result dataset maintains relevance rank order integrity, while the presentation segment adapts to device characteristics through different layout arrangements, thus preserving ranking accuracy while achieving device adaptability
Solution Approach 2:
The patent adds a visual presentation dimension independent of the relevance ranking dimension. Search results maintain their relevance-based order in the data structure, but the visual presentation layer introduces additional dimensional variations (layout, arrangement, formatting) that adapt to device characteristics without altering the fundamental relevance ranking
Data Source
AI summary
Method of furnishing search engine system search results, comprising: Receiving a search query including information indicative of a property of an application originating the search query. Effecting a search of posting lists to determine search results in respect of the search query, the search results having a relevance rank order. Determining a probable user search result interaction sequence based on information related to previous user interactions with search results having been provided by the system and based on the information indicative of the property of the application originating the search query. The probable user search result interaction sequence being different from the relevance rank order of the search results. Sending the search results, including information allowing for visual configuration of the search results provided to the user by the application originating the search query according to the probable user search result interaction sequence, while maintaining the relevance rank order.