Context-Aware Map Personalization for Location-Based POI Suggestions
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Solution Overview
Problem
Traditional mapping systems provide identical maps to all users, regardless of their familiarity with the location or context, failing to offer personalized suggestions for points of interest.
Innovation Solution
A computer-implemented method and system that determines user classification based on location data, suggesting points of interest (POIs) tailored to the user's familiarity with the area, time, and other context information, allowing for personalized display on a digital map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mapping systems provide identical maps to all users, then system complexity is reduced and ease of operation is improved, but user experience and relevance of information are worsened
Solution Approach 1:
The patent applies local quality by customizing map content based on user classification. Different user types (tourists, locals, commuters) receive different POI suggestions and map annotations tailored to their specific needs and familiarity with the area, rather than providing uniform information to all users.
Solution Approach 2:
The system dynamically adjusts map content based on real-time user classification determined from location data, device type, and contextual information. The mapping system transitions from static identical maps to dynamic personalized maps that adapt to each user's characteristics and current situation.
2Adaptability or versatility
If mapping systems provide personalized POI suggestions based on user classification, then adaptability and user experience are improved, but device complexity and processing requirements are worsened
Solution Approach 1:
The patent segments users into distinct classification categories (tourists, locals, commuters, etc.) based on their location data, device type, and behavioral patterns. This segmentation allows the system to apply different customization rules and POI recommendation strategies for each user group, managing complexity through structured classification.
Solution Approach 2:
The system introduces an intermediary classification layer between the user and the map content. User classification data acts as a mediator that translates raw user characteristics into specific personalized map configurations, POI suggestions, and information filtering, simplifying the overall system architecture.
3Measurement precision
If mapping systems process location data and user context information to determine user classification, then measurement precision of user understanding is improved, but loss of time for data processing is worsened
Solution Approach 1:
The system performs preliminary user classification by analyzing location data, device type, and contextual information before the user requests map information. This preliminary action enables the system to pre-determine user category and prepare personalized content, reducing processing time when actual map requests are made.
Solution Approach 2:
The system uses feedback from user interactions, location tracking, and device information to continuously refine user classification. This feedback mechanism improves measurement precision of user understanding over time while optimizing processing efficiency through learned patterns and cached classification data.
Data Source
AI summary
A computer-implemented method and system may promote points of interest (POIs) for display on a digital map at a client computing device based on context information associated with a user. Location data from a client computing device may indicate a geographic location of the computing device. Using the location data, the system may determine a user classification indicating a degree of familiarity with the location indicated by the location data. Promotion data may be determined based on the location data and the user classification. The promotion data may indicate one or more sets of POIs to be promoted. The system may then send the determined promotion data to the client computing device, enabling display on the client computing device of the one or more indicated sets of POIs.