Identifying Re-subscribed Users via Communication Record Coincidence
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Solution Overview
Problem
Current methods for identifying re-subscribed users in mobile networks have low accuracy due to the assumption that users retain the same mobile phone, which is not always true, leading to incorrect identification results.
Innovation Solution
A method and apparatus using a statistics module, grouping module, and calculating module to analyze communication records across different charging periods, grouping communication numbers, and calculating a coincidence rate to identify re-subscribed users, thereby improving accuracy and reducing invalid comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If IMEI comparison method is used to identify re-subscribed users, then the identification process is simple, but the accuracy rate is low because users may change mobile phones
Solution Approach 1:
The patent introduces communication records as an intermediary element to bridge the gap between users and their devices. Instead of directly comparing IMEIs (which fail when users change phones), the system compares communication records that serve as a mediator to identify re-subscribed users based on their communication patterns and contacts, thereby resolving the contradiction between simple identification and accurate identification
Solution Approach 2:
The patent changes the identification parameter from device-based (IMEI) to behavior-based (communication records). By shifting from comparing hardware identifiers to comparing communication patterns, the system adapts to user behavior changes and maintains identification accuracy even when users change their mobile devices
2Measurement precision
If communication records from both charging periods are collected and compared, then identification accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing into distinct modules: a statistics module for generating communication records, a grouping module for organizing data, and a calculating module for comparison. This segmentation divides the complex task of comparing communication records across charging periods into manageable steps, reducing overall processing complexity while maintaining high identification accuracy
Data Source
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AI summary
Embodiments of the present invention provide a method for identifying a re-subscribed user and a corresponding apparatus. Based on call records of a user, communication numbers of the user which meet a preset condition are identified. Then a re-subscribed user is identified by calculating a communication number coincidence rate between users within different charging periods. In accordance with the present invention, call records of users are used as a basis of comparative analysis, thereby improving an accuracy rate of identifying a re-subscribed user; a new method is practiced to sequenced communication numbers of a user and group communication records, thereby effectively reducing the number of calculations and improving calculation efficiency.