Caller ID Selection for Multi-Identity Handsets
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Solution Overview
Problem
Dual-mode handsets with multiple identities (phone numbers) face challenges in providing accurate caller identification information, leading to inconsistent billing and user experience, as existing systems lack efficient methods to categorize and manage multiple caller identities.
Innovation Solution
A system that analyzes call requests and histories to dynamically select and provide appropriate caller identification information, allowing users to categorize contacts and associate default or probabilistic caller IDs, integrated with billing components for dynamic pricing based on access points and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dual-mode handsets support multiple identities (phone numbers), then adaptability and versatility are improved, but device complexity increases
Solution Approach 1:
The patent segments the multiple identities into distinct categories (personal, business, etc.) and assigns separate CLI identifiers to each category. This segmentation allows the system to manage multiple identities systematically by dividing them into manageable groups, each with its own identification and management rules.
Solution Approach 2:
The patent implements preliminary action by pre-categorizing contacts and pre-assigning default CLIs before calls are made. The system analyzes call histories and contact information in advance to determine the most appropriate CLI to use, eliminating the need for real-time decision-making during calls and reducing operational complexity.
2Measurement precision
If dynamic CLI selection is implemented, then caller identification accuracy is improved, but measurement precision requirements increase
Solution Approach 1:
The patent employs feedback mechanisms by analyzing call histories and contact information to continuously refine CLI selection. The system learns from past calling patterns and uses this feedback to improve the accuracy of CLI assignment over time, making the measurement and detection processes more efficient through iterative optimization.
Solution Approach 2:
The system performs self-service by automatically analyzing call contexts and selecting appropriate CLIs without requiring manual user input. The patent implements self-service through automated contact categorization and CLI assignment based on pre-established rules and historical data, reducing the burden on users while maintaining high identification accuracy.
3Manufacturing precision
If call analysis and history tracking are performed, then billing accuracy is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by pre-analyzing and categorizing contact information and call histories before billing processes. This advance preparation stores processed data in an optimized format that can be quickly retrieved during billing operations, achieving both high billing accuracy and fast processing times through upfront data preparation.
Data Source
AI summary
A caller identity provision system comprises a receiver component that receives a call request, the call request originates from a mobile handset that is associated with multiple numbers. An analysis component analyzes the call request and selects a caller line identification (CLI) from amongst a plurality of CLIs to provide to a called party that is a subject of the call request. For instance, the mobile handset and/or a network server can comprise the receiver component and/or the analysis component.