Missed Call Importance Evaluation System
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Solution Overview
Problem
Current communication devices lack a method to evaluate the level of importance of missed incoming calls, making it difficult for users to determine the significance of missed communications.
Innovation Solution
A method using an evaluating system with a defining module, determination module, and execution module to assess the importance of missed calls based on predefined parameters such as ring time, contact group, communication frequency, and total talk time, employing a linear function and generalized least squares method to calculate an importance value, which is then categorized into low, middle, or high levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If no evaluation method is implemented for missed calls, then the device complexity remains low, but the user's ability to prioritize calls is insufficient
Solution Approach 1:
The system changes parameters such as ring time duration, contact group classification, communication frequency, and total talk time to evaluate and prioritize missed calls. By transforming raw call data into weighted parameters, the system enables automated importance assessment without requiring complex user intervention.
Solution Approach 2:
The call evaluation system operates autonomously by automatically collecting call data, applying weighting rules, calculating importance scores, and categorizing missed calls. The system serves itself by using predefined parameters and algorithms to generate prioritization lists without requiring manual user analysis.
2Measurement precision
If multiple parameters are collected and processed to evaluate call importance, then the measurement precision of call priority is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-defining parameters, weighting rules, and classification categories before actual call evaluation. This preparation allows the system to quickly process new call data using established algorithms rather than performing complex analysis in real-time.
Solution Approach 2:
The system applies partial action by selectively processing only the necessary parameters for each call evaluation rather than analyzing all possible call attributes. This approach maintains sufficient measurement precision while reducing computational overhead and processing time.
Data Source
AI summary
A computerized method is implemented by a communication device for evaluating levels of importance of missed incoming calls. One or more reference parameters in relation to incoming calls received by the communication device are defined, a function for evaluating levels of importance of the missed incoming calls is formed using the one or more reference parameters. When an incoming call is received by the communication device, whether the received incoming call is missed is determined If the received incoming call is missed, the one or more reference parameters in relation to the received incoming call are obtained. A level of importance of the missed incoming call is evaluated by applying the obtained one or more reference parameters to the function.