Local Search Result Prioritization on Mobile Devices
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Solution Overview
Problem
Mobile devices face challenges in providing relevant information due to limited input capabilities, smaller displays, and slower data connections, making it difficult to effectively handle and display rich content like search results.
Innovation Solution
A system that generates and orders search result sets based on relevance, prioritizing local results by determining a search query's locality using a local relevance indicium, and formats them for display on mobile devices, ensuring the most relevant information is displayed first.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If local search results are prioritized and displayed first for mobile devices, then user satisfaction and relevance are improved, but the complexity of determining and managing local relevance indicium increases
Solution Approach 1:
The patent segments search results into distinct categories (local results, non-local results, web results, image results, video results, news results) and applies different ranking rules to each segment. This segmentation allows the system to manage complexity by handling each category separately rather than attempting to rank all results uniformly, thereby maintaining high relevance while controlling system complexity.
Solution Approach 2:
The patent performs preliminary determination of local relevance indicium before final result ranking. The system pre-calculates locality scores based on device location, query terms, and result metadata, then uses these pre-computed values to efficiently rank results. This preliminary action reduces the computational complexity during the actual search execution.
2Loss of information
If more search result categories are made available, then information completeness is improved, but the number of operations required to access information increases
Solution Approach 1:
The patent organizes multiple search result categories into a tabbed interface structure, where each tab represents a different result type (local, web, images, videos, news). This segmentation allows all information to be available while presenting it in an organized, easily navigable format that minimizes the operations required to access different result types.
Solution Approach 2:
The patent implements lazy loading for non-local result sets. While local results are immediately displayed, non-local results are prepared in the background but only fully loaded and displayed when the user explicitly requests them through tab navigation. This partial action approach maintains information completeness while reducing the immediate operational burden on the user.
3Reliability
If local result sets are displayed prominently, then user satisfaction is improved, but data traffic consumption increases
Solution Approach 1:
The patent extracts and prioritizes only the most relevant local search results for prominent display, rather than displaying all available results. By selecting and displaying only the top local results that match the query criteria, the system reduces data traffic consumption while maintaining high user satisfaction through relevant information delivery.
Solution Approach 2:
The patent applies different quality and detail levels to different result types. Local results are displayed with higher prominence and detail, while non-local results are either summarized or require additional user action to view in full. This local quality approach ensures that data traffic is optimized by allocating bandwidth according to result relevance and user likely interest.
Data Source
AI summary
A computer-implemented method is disclosed. The method includes receiving from a remote device a search query, generating a local result set and one or more non-local result sets for the search query, determining a display location for the local result set relative to the non-local result set based on a position of the search query in a local relevance indicium.