User Identity Determination via Behavior and Transmission History Correlation
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Solution Overview
Problem
Current methods fail to accurately identify users by associating their transmission histories in social network services with their actual behaviors, such as product purchases, which limits targeted information delivery.
Innovation Solution
An information processing apparatus and method that acquires behavior histories and transmission histories, calculates degrees of association and similarity between users, and determines identity to deliver targeted information to users with high influence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user identity is determined only by traditional identification information in SNS, then the identification process is simple, but the accuracy of user identity determination is insufficient and cannot associate with actual behaviors
Solution Approach 1:
The patent combines multiple data sources including SNS transmission histories, behavior histories from multiple services, and actual purchase behaviors into a unified user identity determination system. This merging of diverse information sources enables accurate cross-platform user identification by correlating transmission patterns with actual behaviors across different services
Solution Approach 2:
The patent introduces an information processing apparatus as an intermediary that collects, processes, and correlates data from multiple sources including SNS services, behavior history databases, and purchase information systems. This intermediary system bridges the gap between different data sources and enables accurate user identity determination through centralized processing
2Measurement precision
If behavior histories and transmission histories are collected and analyzed to determine user identity, then user identification accuracy improves, but the complexity of data processing and analysis increases
Solution Approach 1:
The patent segments the user identity determination process into distinct functional units: a behavior history acquisition unit that collects purchase and usage data, a transmission history acquisition unit that gathers SNS activity, and a determination unit that performs the actual identity matching. This segmentation allows each unit to specialize in specific data types and processing tasks, reducing overall system complexity
Solution Approach 2:
The patent employs feedback mechanisms where the determination unit uses correlated behavior and transmission histories to iteratively refine user identity determination. The system continuously processes new data inputs and adjusts identity correlations based on accumulated evidence from multiple data sources, improving accuracy through iterative analysis
Data Source
AI summary
In a first aspect of the present invention, provided are an information processing apparatus including a behavior-history acquisition unit configured to acquire behavior histories of first users identified by first-user identification information, a transmission-history acquisition unit configured to acquire information transmission histories of second users identified by second-user identification information, and a determination unit configured to determine identity between the first users and the second users on the basis of behavior details included in the behavior histories and transmission details included in the transmission histories; a method for processing information with the information processing apparatus; and a program using the information processing apparatus.