Location-Based Content Recommendation via Geographic Segmentation
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Solution Overview
Problem
Conventional social media platforms lack effective methods for recommending location-based digital content to users, failing to provide personalized and relevant content based on geographic location and user preferences.
Innovation Solution
A method and system that utilizes a serving system with a database to collect and analyze user data, location-based digital content, and hashtags, allowing for real-time recommendation of location-based and personalized content through a browser program by determining a user's geographic range and updating content based on their position and interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional social media platforms recommend content based on general user interests, then user engagement is maintained, but location-based personalization and relevance are insufficient
Solution Approach 1:
The system applies local quality by tailoring content recommendations to specific geographic locations. It determines the user's current location range and recommends digital contents specifically associated with that location, making the recommendation service adapted to local characteristics rather than applying a uniform approach globally.
Solution Approach 2:
The system segments the user base by geographic location, dividing the service area into location ranges based on user position information. This segmentation allows the system to provide location-specific content recommendations, preserving geographic relevance that would be lost in a unified recommendation approach.
2Reliability
If the system continuously updates content recommendations based on real-time position information, then content relevance is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system employs self-service mechanisms where the browser program automatically obtains position information from the user device and continuously monitors location changes. The system autonomously determines location ranges, queries for relevant contents, and updates recommendations without requiring manual user input, thereby maintaining high content relevance while managing complexity through automation.
Solution Approach 2:
The system implements feedback loops by continuously monitoring user position information and adjusting content recommendations in real-time. When the user's location changes or the user interface is manipulated, the system receives feedback about the new location range and automatically re-queries the database to provide updated relevant contents, ensuring continuous relevance adaptation.
3Adaptability or versatility
If the system queries the database for hashtags from a wider location range, then more diverse content options are provided, but processing time and resource consumption increase
Solution Approach 1:
The system applies partial action by querying hashtags from a wider location range than the immediate current location. This excessive action ensures that diverse content options are captured from surrounding areas, providing broader content diversity while still maintaining reasonable processing bounds by limiting the expansion radius rather than querying globally.
Data Source
AI summary
A method and a system for recommending a location-based digital content are provided. The system includes a serving system having a database that stores a plurality of location-based digital contents and relevant hashtags. The system provides a browser program executed in a user device. The browser program is used to connect to the serving system for browsing the location-based digital contents provided by the serving system. In the method, the serving system receives position information from the user device so as to determine a geographic range. After querying the database, location-based digital contents within the geographic range can be obtained. The hashtags associated to the location-based digital contents within the geographic range can be obtained and displayed on the user interface for recommending the location-based digital contents within the geographic range to the user.