Behavioral Profile Determination Using Multi-Source Communication Data
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Solution Overview
Problem
Existing methods for retrieving a person of interest based on behavioral characteristics are limited, as they primarily rely on email communication records and fail to consider other forms of communication like telephone calls and face-to-face interactions, leading to incomplete behavioral profiles.
Innovation Solution
A system that collects and processes multiple kinds of behavior logs and communication information from various sources, such as email, telephone calls, and meetings, to determine versatile behavioral characteristics by weighting and combining different types of data, allowing for more comprehensive person retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If behavioral characteristics are determined solely from email communication records, then the retrieval process is simple and focused, but the behavioral profile becomes incomplete and lacks versatility
Solution Approach 1:
The system determines behavioral characteristics from multiple communication channels (email, telephone, meetings, chats) rather than a single channel, making the behavioral profile universally applicable across different communication contexts and improving completeness without excessive complexity
Solution Approach 2:
The system merges data from multiple communication sources (email logs, telephone records, meeting attendance, chat histories) into a unified behavioral characteristic determination process, creating a comprehensive behavioral profile that reflects diverse communication patterns
2Measurement precision
If multiple kinds of behavior logs and communication information are collected and combined, then the behavioral characteristics become more accurate and versatile, but the data processing complexity increases
Solution Approach 1:
The system segments the determination process into distinct modules: collecting behavior logs from multiple sources, determining communication information from each source, weighting different communication types, and combining results to produce behavioral characteristics. This segmentation manages complexity while maintaining accuracy
Solution Approach 2:
The system applies parameter changes by assigning different weights to different communication channels (email, telephone, meetings, chats) based on their relevance to specific behavioral characteristics, allowing flexible adjustment of accuracy without increasing structural complexity
Data Source
AI summary
A method of information processing includes: obtaining either or both a plurality of behavior logs that include a plurality of behavior history records and a plurality of communication information that indicate plural aspects of communication behavior given by processing the plurality of behavior logs for an individual; determining a behavioral characteristic that indicates how the individual is likely to behave by weighting either or both of the plurality of behavior logs and the plurality of communication information using predetermined weightings and combining the plurality of behavior logs and the plurality of communication information that have been weighted; and recording the behavioral characteristic into a database in the storage device.