Information Processing Using a Generative Model for Area Profiling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional store sales strategies lack consideration for user characteristics in different areas, failing to provide tailored sales strategies based on area-specific information.
Innovation Solution
An information processing apparatus that utilizes a generative model to estimate and display the characteristics of a target area by acquiring user information, estimating the characteristics of visited places using a trained model, and displaying the results on a user terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional trade area analysis is performed, then basic area analysis capability is provided, but area-specific characteristic information is not extracted
Solution Approach 1:
The patent introduces a generative model as an intermediary component between the trade area analysis system and the area-specific characteristic extraction. This generative model acts as a mediator that processes user information and generates area-specific characteristics, thereby resolving the contradiction by adding a specialized component rather than redesigning the entire system.
Solution Approach 2:
The analysis system is segmented into distinct functional modules: a trade area analysis component for basic analysis and a generative model component for extracting area-specific characteristics. This segmentation allows each module to specialize in its function, improving information extraction capability while maintaining manageable system complexity through modular architecture.
2Adaptability or versatility
If generic sales strategies are used, then broad applicability is achieved, but user characteristics in different areas are not considered
Solution Approach 1:
The system performs preliminary extraction and storage of area-specific characteristics using the generative model before sales strategy development. By pre-processing and storing area characteristics, the system enables rapid adaptation of sales strategies to different areas without requiring time-consuming analysis each time, thus improving adaptability while reducing time loss.
Solution Approach 2:
The system changes the parameter of sales strategies by incorporating area-specific characteristics generated by the generative model. This allows the same sales strategy framework to be adapted to different areas by modifying the characteristic parameters, achieving versatility without requiring complete strategy redevelopment for each area.
3Measurement precision
If detailed user information analysis is performed for each area, then accurate area characteristics are obtained, but processing complexity increases
Solution Approach 1:
The generative model serves as an intermediary that handles the complex task of analyzing detailed user information and extracting area characteristics. By delegating this complex processing to a specialized generative model, the main system maintains simplicity while achieving high measurement precision in area characteristic estimation.
Solution Approach 2:
The generative model performs self-service by autonomously processing user information and generating area characteristics without requiring complex external processing systems. This self-contained approach achieves accurate area characteristic estimation while keeping the overall system architecture simple and manageable.
Data Source
AI summary
An information processing apparatus includes an acquisition unit that acquires user information about a user who has visited at least one of a plurality of places included in a predetermined area, an estimation unit that uses a generative model trained to output a response to an input question to extract a characteristic place included in the predetermined area as a target area, from user information acquired by the acquisition unit, and estimates a characteristic of the extracted target area, and a display unit that displays the characteristic of the target area estimated by the estimation unit.