Geofence Filtering Using Cognitive Ranking
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Solution Overview
Problem
Conventional geofence filtering systems return irrelevant geofences due to platform limitations and distance-only filters, especially in crowded areas with numerous geofences, leading to inefficient geofence management.
Innovation Solution
A geofence filtering system that incorporates cognitive filtering and ranking, using user location monitoring, geofence determination, and cognitive factors such as dwell time, personal preferences, and environmental conditions to prioritize relevant geofences beyond platform limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If distance-only filter is used to select geofences, then the system can handle platform geofence limits, but irrelevant geofences are returned to users in crowded areas
Solution Approach 1:
The patent transforms the geofence filtering approach by changing from a single parameter (distance) to multiple parameters including dwell time, user preferences, and environmental conditions. This multi-parameter filtering system resolves the contradiction by maintaining platform compatibility while significantly improving geofence relevance through cognitive factor integration.
Solution Approach 2:
The patent adds new dimensions to the filtering process by incorporating temporal dimensions (dwell time), personalization dimensions (user preferences), and contextual dimensions (environmental conditions). This dimensional expansion allows the system to distinguish relevant geofences from irrelevant ones in crowded areas while respecting platform limits.
2Area of stationary object
If more geofences are monitored than platform limits allow, then more geofence coverage is achieved, but platform constraints prevent implementation
Solution Approach 1:
The patent performs preliminary filtering and ranking of geofences using cognitive factors before submitting to the platform. By pre-processing the geofence list to identify and prioritize relevant geofences, the system effectively extends coverage beyond platform limits while maintaining compatibility with platform constraints through intelligent pre-selection.
Solution Approach 2:
The patent introduces a cognitive filtering and ranking system as an intermediary layer between the extensive geofence database and the platform's limited monitoring capacity. This intermediary processes and prioritizes geofences based on multiple factors, enabling the system to work within platform constraints while achieving broader effective coverage.
3Loss of information
If cognitive filtering is implemented, then geofence relevance is improved, but system complexity increases
Solution Approach 1:
The patent segments the filtering system into distinct functional modules: dwell time calculation module, user preference retrieval module, environmental condition assessment module, and ranking module. This segmentation manages complexity by organizing cognitive filtering into manageable, independent components that can be developed and maintained separately while working together to improve geofence relevance.
Data Source
AI summary
A geofence filtering method, system, and non-transitory computer readable medium, include a user location monitoring circuit configured to monitor a pinpoint location of a user and a boundary location of the user, a geofence determining circuit configured to determine a plurality of geofences that overlap with the boundary location of the user, the plurality of geofences being stored in a database, and a cognitive filtering and ranking circuit configured to filter the plurality of geofences that overlap with the boundary location of the user based on a cognitive factor and to rank the filtered geofences based on the cognitive factor to deliver to a user device when a pinpoint location of the user overlaps with the plurality of geofences.