Caller Risk Assessment via Relationship Analysis
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Solution Overview
Problem
Many telephone calls are received from unknown sources, leading users to miss important calls as they are hesitant to answer calls from unfamiliar numbers, especially those originating from specific regions which may be unwanted.
Innovation Solution
A system and method that identifies the source of an incoming call, determines the relationship between the caller and recipient, and calculates a risk indicator, which is then sent as a notification to the recipient, allowing them to decide whether to answer, block, or reject the call based on the assessed risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users answer calls from unknown numbers, then they may catch important calls, but they risk receiving unwanted communications
Solution Approach 1:
The system performs preliminary risk assessment by analyzing caller information, relationship data, and communication patterns before the user answers the call. This advance analysis provides a risk indicator that helps users make informed decisions, resolving the contradiction by preparing protective information in advance without blocking potentially important calls.
Solution Approach 2:
The system introduces an intermediary risk assessment mechanism between the incoming call and the user's decision to answer. This mediator analyzes multiple data sources including caller ID, relationship graphs, and communication history to provide an objective risk evaluation, allowing users to safely answer important calls while filtering unwanted ones.
2Object-affected harmful factors
If users block calls from unknown sources, then unwanted communications are reduced, but important calls may be missed
Solution Approach 1:
Instead of applying a uniform blocking policy to all unknown callers, the system applies differentiated risk assessment to individual callers based on their specific characteristics, relationship to the user, and communication patterns. This localized approach allows important calls to be identified and permitted while blocking only genuinely unwanted communications.
Solution Approach 2:
The system provides feedback in the form of risk indicators to users about incoming calls from unknown sources. This feedback loop allows users to make informed decisions about each call rather than relying on automatic blocking, ensuring important calls are not missed while still protecting against unwanted communications.
3Measurement precision
If the system analyzes caller relationships and calculates risk indicators, then call filtering accuracy improves, but processing complexity increases
Solution Approach 1:
The system segments the risk assessment process into distinct analytical components: relationship graph analysis, communication pattern recognition, and risk indicator calculation. This segmentation allows each component to be optimized independently and processed efficiently, reducing overall system complexity while maintaining high measurement precision through specialized analysis modules.
Data Source
AI summary
The method includes identifying, by one or more computer processors, incoming data related to a source. The method further includes identifying, by one or more computer processors, data related to a recipient of incoming data from the source. The method further includes determining, by one or more computer processes, a relationship between the source and the recipient of the incoming data from the source. The method further includes calculating, by one or more computer processors, a risk indicator associated with the incoming data from the source based upon the identified data related to the source, the identified data related to the recipient and the determined relationship between the source and the recipient. The method further includes sending, by one or more computer processors, a notification to the recipient, wherein the notification includes at least the calculated risk indicator.