Geo-Social Content Surfacing via Dynamic Radius Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing geo-social networking systems fail to effectively surface relevant content to users based on their current location and familiarity with that location, often providing either too broad or too narrow a range of content, which can lead to user disengagement.
Innovation Solution
A geo-social networking system that calculates a novelty score for a user's location based on their past interactions and distance traveled, adjusting the geographic and temporal radius for surfacing content to ensure relevance, with content ranking and delivery tailored to the user's familiarity with their surroundings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed geographic radius is used for surfacing content, then the system implementation is simple, but the content relevance to user's current situation deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from a static fixed geographic radius to a dynamic adaptive radius that changes based on user behavior. The system continuously adjusts the search radius according to user movement patterns, time spent at locations, and interaction history, making the content surfacing mechanism responsive to real-time user context rather than using a predetermined fixed range.
Solution Approach 2:
The patent implements parameter changes by modifying the geographic radius parameter based on multiple factors including user movement distance, time spent at current location, and historical interaction data. The system dynamically adjusts this parameter to optimize content relevance, changing it from a constant value to a variable that adapts to user situation and behavior patterns.
2Quantity of substance
If a large geographic radius is used for content search, then more content is available, but the content becomes less relevant to user's immediate context
Solution Approach 1:
The patent applies local quality by making content relevance dependent on the user's specific local context. Instead of uniformly applying the same search radius to all users, the system tailors the geographic scope to each user's immediate situation, adjusting the search area based on their movement patterns, location familiarity, and contextual behavior to provide locally optimized content.
Solution Approach 2:
The system dynamically adjusts the geographic search radius based on real-time user behavior data. When users exhibit patterns indicating familiarity with an area, the radius decreases to provide more localized relevant content. When users show signs of being new to an area or actively exploring, the radius expands to provide broader content options, making the balance between quantity and relevance adaptive.
3Manufacturing precision
If content is surfaced based on multiple geo-social factors, then content relevance improves, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing user behavior patterns, movement histories, and interaction data during normal system operation. This pre-processing allows the system to quickly retrieve and apply pre-analyzed user profiles rather than performing complex computations in real-time when surfacing content, reducing computational complexity while maintaining high relevance.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor user interactions with surfaced content and adjust the geo-social factors accordingly. User engagement data feeds back into the system to refine the weighting and application of various factors, optimizing the balance between relevance and computational efficiency through iterative learning and adaptation.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
In one embodiment, a geo-social networking system determines a user's current location, calculates a novelty score for the location representing the user's degree of familiarity, and surfaces content within a geographic and temporal radius based on the novelty score for display to the user.