Actual POI Determination via Multi-Context Analysis
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Solution Overview
Problem
Existing location-based social applications are limited in accurately determining a user's actual point-of-interest (POI) due to multiple POIs within the same geographical vicinity and the user's movement from a parking location to another, leading to inaccuracies in tracking user locations.
Innovation Solution
A method and system that determine an actual POI by analyzing probable POIs based on user activity contexts and POI category information, using computing devices to filter out less likely POIs by comparing category information and user activity transitions between locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple POIs are recorded within the same geographical vicinity, then the coverage of location-based services is improved, but the accuracy of determining the actual POI deteriorates
Solution Approach 1:
The patent segments the determination of actual POI into multiple analytical dimensions: POI category information, user activity contexts, environmental contexts, and social contexts. Each dimension provides partial information that, when combined, enables accurate identification of the actual POI among multiple candidates in the same geographical vicinity.
Solution Approach 2:
The patent changes the parameters used for POI determination from simple geographical proximity to a multi-parameter analysis including POI category matching, user activity type, environmental features, and social context. This parameter transformation enables differentiation between multiple POIs at the same location.
2Ease of operation
If users park vehicles far from the actual POI and move to another location, then the ease of parking is improved, but the accuracy of location tracking deteriorates
Solution Approach 1:
The system performs preliminary analysis of POI category information and user activity contexts before the user completes their movement from parking to destination. By analyzing the category match between POIs and the user's stated activity purpose, the system can predict the actual destination even when the user parks at a different location first.
Solution Approach 2:
The patent introduces POI category information and user activity contexts as intermediary elements that mediate between the user's parking location and actual destination. These intermediaries provide contextual clues that help the system infer the true POI despite spatial separation between parking and destination.
3Productivity
If automatic determination of actual POI is implemented, then the productivity of location tracking is improved, but the device complexity increases
Solution Approach 1:
The patent implements a universal computing device that performs multiple functions: collecting POI data, analyzing user activity contexts, processing environmental contexts, evaluating social contexts, and determining the actual POI. This multi-functional approach consolidates complexity into a single platform rather than requiring separate specialized systems.
Solution Approach 2:
The system enables automatic self-determination of actual POI without requiring user intervention. The computing device autonomously collects data from multiple sources, analyzes the various contexts, and determines the actual POI automatically, thereby improving productivity while distributing the computational complexity across available resources.
Data Source
AI summary
The disclosure is directed to determining an actual point-of-interest (POI). For example, using at least one computing device, a first set of probable POIs corresponding to a first geographical location and first POI category information may be determined. The at least one computing device may also be used to determine a second set of probable POIs corresponding to a second geographical location and determine second POI category information. By analyzing the first and second POI category information, the actual POI from the first and second set of probable POIs may be determined.