Location Search Optimization Platform Segmentation Strategy
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Solution Overview
Problem
Current location-based services face inefficiencies due to redundant data acquisition when users reposition maps, leading to increased data transmission and redundancy in search results, as previous search results are not differentiated from new results.
Innovation Solution
The optimization platform identifies overlapping and non-overlapping areas between initial and subsequent search requests, allowing for the generation of new results only for non-overlapping areas, reducing data transmission by flagging prior results as 'old' and presenting them separately from new results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a new location-based search is executed when the user repositions the map, then the map is updated with new location-based information, but redundant data is acquired again for overlapping areas, increasing data transmission and processing overhead
Solution Approach 1:
The patent segments the search area into overlapping and non-overlapping portions relative to the previous search. The system identifies the overlapping area between the first search area and second search area, then only executes a new search for the non-overlapping portion. This segmentation eliminates redundant data acquisition while maintaining complete coverage of the repositioned map area.
Solution Approach 2:
The patent performs preliminary identification of overlapping areas between successive search requests before executing the new search. By pre-determining which areas have already been searched and acquired data for, the system avoids redundant data transmission and processing, improving efficiency while ensuring reliable map updates.
2Quantity of substance
If all search results are returned without differentiation, then the user receives complete location-based information, but the user cannot distinguish between previously viewed results and newly acquired results, reducing user experience
Solution Approach 1:
The patent applies visual differentiation (analogous to color changes) by marking and presenting old search results distinctly from new search results. The system identifies which results are from the overlapping area (old results) and which are from the non-overlapping area (new results), then presents them in a differentiated manner allowing users to easily distinguish between previously viewed and newly acquired location information.
3Reliability
If a complete new search is performed for every map repositioning, then all location-based information is ensured to be current, but data transmission volume increases and search processing time is extended
Solution Approach 1:
The patent segments the search execution process by identifying and separating the overlapping area from the non-overlapping area. Only the non-overlapping portion triggers a new search execution, while the overlapping portion reuses previously acquired data. This segmentation significantly reduces search processing time and data transmission volume while maintaining data currency for the entire repositioned map area.
Solution Approach 2:
The patent recovers and reuses previously acquired search results for overlapping areas instead of discarding them and performing redundant searches. By identifying old results associated with the overlapping area and reusing them, the system eliminates unnecessary search processing time and data transmission while ensuring the map displays current and complete location-based information.
Data Source
AI summary
An approach is provided for optimizing the generation of a location based search result. An optimization platform generates is also caused to initiate at least one second-location based search for at least one non-overlapping area of at least one first search area and at least one second search area to generate at least one set of new results. The optimization platform also designates at least one portion of the at least one first set of results as at least one set of old results. The optimization platform then returns at least one set of new results and the at least one set of old results as at least one second set of results for the at least one second location-based search.