Navigation System Regional Bias Correction via Deviation Calculation
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Solution Overview
Problem
Conventional navigation systems tend to overrepresent the popularity of POIs in urban areas and underrepresent those in rural areas due to biased popularity calculations based on user feedback and visitation data.
Innovation Solution
A navigation system that calculates the popularity level of POIs by considering a deviation value based on popularity information from surrounding POIs within a predetermined range, adjusting for regional differences and presenting POIs with high popularity levels suitable for each region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If popularity level is calculated using information from net users, then the popularity level of POIs in easily visited regions (city centers) is high, but the popularity level of POIs in remote regions is relatively low, creating regional bias
Solution Approach 1:
The patent applies local quality by establishing region-specific reference values for popularity information. Instead of using a uniform calculation standard across all areas, the system determines reference values based on local characteristics of each region, allowing POI popularity to be evaluated relative to local standards rather than global averages, thereby eliminating regional bias
Solution Approach 2:
The patent changes the parameter used for popularity calculation from absolute values to deviation values. By calculating the difference between each POI's popularity information and the reference value for its region, the system transforms the measurement parameter to account for regional differences, enabling fair comparison across diverse locations
2Reliability
If popularity level is based on user feedback and visitation data, then urban POIs are overrepresented, but rural POIs are underrepresented
Solution Approach 1:
The system implements local quality by setting different reference values for different regions. Urban areas and rural areas each have their own baseline popularity expectations, allowing POIs to be evaluated relative to their local context rather than being judged by urban-centric standards, thus improving both reliability and regional coverage
3Adaptability or versatility
If absolute popularity values are used for POI selection, then regional differences cause biased presentation, but adjusting for regions requires additional calculation complexity
Solution Approach 1:
The patent simplifies the complexity issue by changing the calculation parameter from absolute popularity values to deviation values (difference from reference). This parameter transformation maintains regional fairness while simplifying the selection logic, as the system only needs to compare deviation values rather than adjusting absolute values for each region
Solution Approach 2:
The system extracts the regional bias component by separating it into a distinct reference value that is removed from the popularity calculation. By taking out the regional reference standard and calculating only the deviation from it, the system isolates the regional effect and eliminates its distorting influence on POI selection
Data Source
AI summary
A navigation system includes: a search unit; an acquisition unit; a storage unit; a collection unit configured to collect one or more types of popularity information for specifying a popularity level indicating a level of popularity of each POI; a calculation unit configured to calculate the popularity level of each POI on the basis of the collected popularity information; a specification unit configured to specify the POIs having high popularity levels located within a predetermined distance from the route searched for by the search unit; and a presentation unit configured to present one POI specified by the specification unit before traveling near the corresponding POI, and the calculation unit calculates the popularity level on the basis of a deviation value calculated on the basis of the one or more types of popularity information and popularity information on other POIs included within a first predetermined range from the corresponding POI.