Nuisance Call Identification Using Multi-Factor Index
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Solution Overview
Problem
Conventional techniques for identifying nuisance calls rely solely on call frequency and duration, leading to inaccurate identification of nuisance calls and erroneous classification of normal calls.
Innovation Solution
A system that generates a list of potentially nuisance calls based on multiple factors, including user interactions, call history, geographic area, evaluation values, and database registration, using a calculated index value compared to a threshold to determine nuisance calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If identification is performed based only on call frequency and duration, then the identification process is simple, but the accuracy of nuisance call identification deteriorates
Solution Approach 1:
The patent changes the parameters used for identification from simple call frequency and duration to a comprehensive index value that incorporates multiple factors including user operations (reject/permit), call history, geographic area, talk time, and database registration status. This parameter transformation enables accurate identification while maintaining systematic processing
Solution Approach 2:
The identification system is segmented into distinct functional components: a calculation unit that computes the index value based on multiple independent factors, and a generation unit that compares the index against thresholds. This segmentation allows each component to handle specific aspects of the complex identification process independently
2Measurement precision
If multiple factors are considered for identification, then the accuracy of nuisance call identification improves, but the complexity of the identification system increases
Solution Approach 1:
The patent merges multiple independent factors (user operations, call history, geographic data, talk time, database information) into a single integrated index value. This consolidation allows the system to consider comprehensive factors while maintaining a unified identification mechanism through threshold comparison
Solution Approach 2:
The index value serves as an intermediary that mediates between multiple input factors and the final identification decision. Rather than directly processing each factor separately to make a decision, the system uses the index value as an intermediate representation that encapsulates all factors in a single comparable metric
Data Source
AI summary
To increase the accuracy of identification of nuisance calls, a list generation device acquires, as input data, at least one of information included in second history information and an evaluation value stored in a user evaluation database. The list generation device calculates a nuisance level for a telephone numbers of each caller based on a factor determined by the acquired input data. The list generation device compares the calculated nuisance level with threshold to generate shared list including the telephone number of the caller who makes an incoming call identified as a nuisance call.