Cluster Generation Apparatus for User Behavior Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for visualizing people flow primarily focus on movement information without considering data from visited locations, limiting their ability to analyze user behavior and preferences.
Innovation Solution
A cluster generation apparatus and method that utilize position and time information to classify users based on spots visited, generating clusters and movement routes to analyze user behavior and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only movement information is used for analysis, then the analysis system remains simple, but the ability to analyze user behavior and preferences is limited
Solution Approach 1:
The patent combines movement information (GPS trajectories) with spot visit information (check-in data from LBS) to create a comprehensive user behavior analysis system. By merging these two data sources, the system recovers the lost user behavior information while managing complexity through integrated processing of both data types together rather than separately
Solution Approach 2:
The patent adds a new dimension of analysis by incorporating spot visit information alongside movement information. This transforms the analysis from purely spatial-temporal movement tracking to include behavioral context at specific locations, enabling richer user behavior and preference analysis without simply increasing data volume
2Measurement precision
If spot visit information is incorporated into the analysis, then user behavior analysis capability is enhanced, but the complexity of data processing increases
Solution Approach 1:
The patent segments the data processing into distinct components: movement information processing (GPS trajectory analysis) and spot visit information processing (check-in data analysis). By segmenting these processing tasks, the system achieves precise user behavior analysis through specialized processing of each data type while managing overall complexity through modular architecture
Solution Approach 2:
The patent introduces spot visit information as an intermediary element that bridges movement data and user behavior interpretation. This intermediary layer provides contextual meaning to movement patterns by identifying specific locations visited, thereby enhancing analysis precision while managing complexity through this intermediate processing stage
Data Source
AI summary
A cluster generation apparatus includes processing circuitry configured to acquire position information and time information for a plurality of users; generate a cluster based on spots visited by the users by using the position information for the users, the cluster being a classification of the users; and generate, for each generated cluster, a movement route based on a history of movement of the cluster between the spots, from the time information and the position information for the users belonging to the cluster.