Tag Relevance Manager for Geographic Search Ranking
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Solution Overview
Problem
Existing image databases face challenges in accurately ranking and retrieving tags associated with geographic locations due to the ambiguity and relevance issues arising from varying geographic scopes and scales, leading to irrelevant search results.
Innovation Solution
A tag relevance manager system that collects and ranks tags based on their relative frequencies within specific geographic areas and larger surrounding areas, using a quad tree structure for optimization, to determine locale ranking values and provide relevant tags for user queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If keyword-based search is used to retrieve images by location, then search coverage is improved, but result precision deteriorates due to ambiguous tags
Solution Approach 1:
The system changes the parameter of tag evaluation from simple frequency counting to a multi-dimensional assessment that includes geographic scope, relative frequency within bounded areas, and locale-specific relevance. This transforms the search from broad keyword matching to precision-oriented tag ranking based on multiple parameters.
Solution Approach 2:
The patent replaces the mechanical keyword-matching system with a computational ranking system that uses processed tag data, geographic information, and frequency analysis to dynamically rank tags. This substitution enables the system to distinguish between relevant and irrelevant tags through algorithmic evaluation rather than simple text matching.
2Quantity of substance
If tag frequency is calculated based on large geographic areas, then data completeness is improved, but local relevance deteriorates
Solution Approach 1:
The system segments the geographic analysis into multiple hierarchical levels: large bounded geographic areas for overall frequency context and smaller locale-specific areas for local relevance. This segmentation allows the system to simultaneously access both broad data completeness and localized precision by analyzing tags at different geographic granularities.
Solution Approach 2:
The patent applies local quality by calculating tag frequencies differently for different geographic scopes. Tags are evaluated with higher weight for their performance in local bounded areas versus larger surrounding areas, creating a quality-differentiated ranking system that adapts to local contextual requirements while maintaining awareness of broader patterns.
3Device complexity
If simple tag frequency counting is used, then system complexity is reduced, but tag ranking accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing tag frequencies for both large bounded geographic areas and smaller locale-specific areas. This advance preparation of frequency data across multiple geographic scopes enables accurate tag ranking without requiring complex real-time calculations, thus balancing accuracy with manageable system complexity.
Solution Approach 2:
The patent introduces an intermediary component (the tag relevance manager) that mediates between raw tag data and search results. This intermediary processes tag frequencies, geographic information, and locale data to generate ranked tag lists, acting as a buffer that simplifies the overall system architecture while improving ranking accuracy through systematic intermediate processing.
Data Source
AI summary
A request may be received that includes an indicator associated with a geographic location and scope. A database search may be initiated, based on the geographic location and scope. A list of one or more tags may be received, the tags associated with the geographic location, ordered based on relevance within the geographic scope, based on tag locale rankings associated with each of the tags included in the list of tags, the tag locale rankings based on comparisons of relative frequencies of occurrence of the tags, based on first bounded geographic areas, compared with second relative frequencies of occurrence of the tags based on second bounded geographic areas that are respectively larger than the first bounded geographic areas, the request geographic scope indicating one of a plurality of hierarchical geographic analysis levels associated with a plurality of geographic locations.