Communication Record Grouping via Time and Location Analysis
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Solution Overview
Problem
Existing electronic devices lack an efficient method to automatically classify communication records into groups based on time, location, and recipient information without explicit relationship data.
Innovation Solution
A method that stores communication records in a database and creates groups based on time, location, and recipient information, including the creation of first, second, third, and fourth groups using specific criteria such as time ranges, correspondent identifiers, and user-designated group information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If communication records are manually organized into groups, then group classification accuracy is improved, but user time consumption and operational complexity increase
Solution Approach 1:
The system automatically analyzes communication records and creates group classifications without requiring user intervention. The processor extracts communication patterns, identifies relationships between contacts, and generates group structures autonomously based on communication frequency, recency, and interaction patterns
Solution Approach 2:
The system uses multiple communication parameters (frequency, recency, duration, interaction type) to dynamically determine group classifications. By changing and weighing different parameters, the system adapts group formations to reflect actual communication patterns rather than relying on static manual categorization
2Measurement precision
If communication records are analyzed using multiple criteria (time, location, correspondent identifiers), then group classification accuracy is improved, but system complexity increases
Solution Approach 1:
The system divides the complex analysis task into separate processing stages: extracting communication records, analyzing time patterns, analyzing location patterns, analyzing correspondent relationships, and synthesizing group classifications. Each stage handles a specific aspect independently, reducing overall system complexity while maintaining high classification accuracy
Solution Approach 2:
The system introduces an intermediary processing layer that transforms raw communication records into structured analysis data before final group classification. This intermediary layer standardizes multiple criteria into uniform formats that can be systematically processed and compared
3Ease of operation
If automatic group creation is performed without explicit relationship data, then user convenience is improved, but reliability of group relationships decreases
Solution Approach 1:
The system continuously monitors communication patterns and uses this feedback to refine and update group classifications automatically. As communication behavior changes, the system detects these changes and adjusts group memberships accordingly, maintaining reliability without requiring explicit user reclassification
Solution Approach 2:
The system performs preliminary analysis of communication records to pre-establish group classifications before users need them. By proactively organizing contacts based on emerging communication patterns, the system provides ready-to-use reliable groups when users interact with their contact lists
Data Source
AI summary
When a communication occurs in an electronic device, groups are automatically generated according to the user's situation by: storing a communication history in a database; generating a first group from the database on the basis of the time and location information stored in the database at a predetermined time; retrieving a transmission list from the database and generating a second group from the database on the basis of an identifier of an opposing party included in the transmission list; retrieving a reception list from the database and generating a third group from the database on the basis of an identifier of an opposing party included in the reception list and the identifier of the opposing party included in the transmission list; and generating a fourth group on the basis of the information commonly included in at least two groups of the first group, the second group and the third group.