Social Telephony Firewall Aggregating Subscriber Feedback
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Solution Overview
Problem
Unwanted calls from telemarketers, charities, and political groups continue to bother network subscribers despite existing regulations and do-not-call lists, as these entities often evade detection and countermeasures, leading to frustration and potential usage charges.
Innovation Solution
A social telephony firewall system that allows subscribers to tag and categorize undesirable calls based on caller characteristics, aggregating these tags to filter out repeat offenders, with network-provided rewards for detailed feedback, and customizable filtering thresholds to manage call handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If do-not-call registries and regulations are implemented, then unwanted calls should be reduced, but callers can still evade detection and continue placing unwanted calls
Solution Approach 1:
The system implements feedback loops where subscriber responses to calls are collected, processed, and used to update caller profiles. This continuous feedback mechanism allows the system to learn from subscriber interactions and improve its ability to identify and filter unwanted callers over time, making detection more reliable despite caller evasion tactics
Solution Approach 2:
The system performs preliminary actions by pre-tagging callers based on accumulated subscriber feedback before actual calls occur. Callers who have been identified as unwanted through previous interactions are pre-marked in the database, enabling automatic filtering of subsequent calls from these callers before they reach subscribers, thus improving detection reliability
2Productivity
If automated dialing systems are used by telemarketers, then call volume increases, but detection and countermeasures become less effective
Solution Approach 1:
The system employs self-service mechanisms where automated dialing systems inadvertently tag themselves as unwanted callers through subscriber responses. When automated callers receive negative feedback from subscribers, the system automatically updates their profiles and implements filtering, allowing the system to self-identify and neutralize automated dialing threats without requiring external intervention
Solution Approach 2:
The system introduces an intermediary layer between automated dialers and subscribers through the social telephony firewall. This intermediary collects and processes caller information, applies tagging based on subscriber feedback, and mediates call routing decisions, making it difficult for automated dialing systems to evade detection while maintaining high call volume processing capability
3Measurement precision
If subscriber feedback collection is implemented, then caller identification accuracy improves, but system complexity increases
Solution Approach 1:
The system applies multi-functionality by using a unified feedback collection mechanism that serves multiple purposes: identifying unwanted callers, categorizing call types, updating caller profiles, and training the filtering system. This universal approach consolidates what could be multiple separate functions into a single integrated process, improving caller identification accuracy while minimizing the increase in system complexity
Data Source
AI summary
A method receives a call from a device of a caller destined to a device of a subscriber of a communication network. The method connects the call to the device of the subscriber and then receives from the device of the subscriber an indication that the call is an undesirable call. The indication further includes a description of the call. The method then provides a reward to the subscriber when the indication further includes the description of the call.