Geospatial Navigation User-Customized Segments
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Solution Overview
Problem
Conventional geospatial navigation applications provide limited customization options, failing to effectively tailor user experiences based on individual preferences and behaviors, leading to inefficient navigation and discovery of relevant points of interest.
Innovation Solution
A geospatial navigation system that analyzes user action reports to create and update user-customized segments, prioritizing points of interest based on prominence scores, and surfaces these segments within the application, emphasizing relevant points while deemphasizing irrelevant ones, using a combination of action management, segment management, and segment surfacing facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional geospatial navigation applications provide basic customizations using search history, then the application is easier to use for repeated searches, but the customization capability remains limited and does not effectively tailor user experiences based on individual preferences and behaviors
Solution Approach 1:
The patent segments the points of interest database into customized segments based on user behavior patterns, preferences, and contextual factors. Each segment represents a tailored subset of POIs relevant to specific user needs, enabling the application to provide personalized navigation experiences while maintaining ease of operation through organized, manageable segments.
Solution Approach 2:
The system performs preliminary analysis of user search history, navigation patterns, and preference data to pre-configure customized segments before users need them. This preliminary action enables the application to proactively tailor content based on individual behaviors, resolving the contradiction by preparing personalized configurations in advance rather than requiring complex real-time customization.
2Adaptability or versatility
If the system analyzes user action reports and creates detailed user-customized segments, then the personalization and user experience improve, but the system complexity and data processing requirements increase
Solution Approach 1:
The system implements self-service mechanisms where user actions automatically generate and update customized segments without requiring manual configuration. The application monitors user behavior patterns, extracts preferences, and dynamically creates segments autonomously, reducing system complexity by eliminating the need for complex manual customization interfaces while maintaining high personalization levels.
Solution Approach 2:
The system establishes feedback loops where user interactions with customized segments are continuously monitored and fed back into the segmentation algorithm. This feedback mechanism enables the system to automatically refine and update segments based on actual user behavior, resolving the complexity issue by using simple iterative improvement rather than complex upfront configuration.
3Productivity
If the system prioritizes points of interest based on prominence scores and emphasizes relevant points, then navigation efficiency improves, but the computational resources and processing time required increase
Solution Approach 1:
The patent applies local quality by assigning different prominence scores and emphasis levels to different points of interest within customized segments based on their relevance to specific user contexts. Rather than uniformly processing all POIs, the system selectively emphasizes locally relevant points, improving navigation efficiency while reducing computational resources by focusing processing only on high-priority segments.
Solution Approach 2:
The system performs partial action by prioritizing and fully processing only the most relevant points of interest within customized segments, rather than exhaustively analyzing all POIs. This selective approach improves navigation efficiency by focusing computational resources on the subset of POIs most likely to be relevant to the user's current needs, accepting that not all points receive equal processing attention.
Data Source
AI summary
An exemplary geospatial navigation system identifies, based on a user action report representative of a first action taken by a user with respect to a first point of interest, a second point of interest with respect to which the user has not been reported to have taken a second action. The system determines a relevance score representative of a degree of relevance of the second point of interest with respect to the first point of interest, and, based on that relevance score, updates a user-customized segment with respect to the second point of interest. The system also directs a mobile device to surface the updated user-customized segment within a user interface of a geospatial navigation application by emphasizing a representation of the second point of interest in accordance with a prominence score of the second point of interest within the user-customized segment. Corresponding methods and systems are also disclosed.