Unfamiliar Number Labeling via Service Application Type Classification
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Solution Overview
Problem
Existing methods for labeling unfamiliar phone numbers often result in inaccurate labeling due to incorrect user input, leading to difficulties in distinguishing between different types of unfamiliar numbers, especially when multiple unfamiliar numbers are stored in calling records.
Innovation Solution
The method involves receiving an application identification and unfamiliar number from a calling terminal, acquiring the application type corresponding to the service application, and labeling the unfamiliar number based on this type, thereby improving the accuracy and distinguishability of the labeling process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If user input is used for labeling unfamiliar numbers, then the system can collect labeling data, but the labeling accuracy decreases due to incorrect user input
Solution Approach 1:
The patent introduces an intermediary classification system between user input and final labeling. Service applications act as intermediaries that automatically classify unfamiliar numbers based on their application types (e.g., news, weather, shopping), thereby mediating between the need for automated labeling and the requirement for accurate classification without relying on potentially incorrect user input
Solution Approach 2:
The system implements feedback mechanisms where labeling results are continuously refined based on service application data. The classification accuracy is improved through feedback loops that utilize service application types to verify and correct labels, ensuring that automated labeling maintains high precision while reducing dependency on manual user input
2Quantity of substance
If multiple unfamiliar numbers are stored in calling records, then the system can track more contacts, but the distinguishability between different types of numbers decreases
Solution Approach 1:
The patent segments the unified pool of unfamiliar numbers into distinct categories based on service application types. Each unfamiliar number is classified into specific segments such as news services, weather services, shopping services, etc., allowing the system to manage a large quantity of contacts while maintaining clear distinguishability through categorical segmentation
Solution Approach 2:
The system applies local quality by assigning different classification attributes to different segments of unfamiliar numbers. Each category of service application receives specific labeling characteristics (e.g., news numbers get news-related labels, shopping numbers get commerce-related labels), enabling differentiated identification and management of various number types within the larger contact database
Data Source
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AI summary
The present disclosure relates to methods and devices for labeling a number, which belongs to the field of computer technology. The method includes: receiving (101) an application identification of a service application and an unfamiliar number sent from a calling terminal, the unfamiliar number being a telephone number provided to a user by the service application, and the calling terminal invoking a telephone application through the service application to call the unfamiliar number; acquiring (102) an application type corresponding to the service application according to the application identification; and labeling (103) the unfamiliar number according to the application type. It solves the problem that an incorrect identification label input by the user results in inaccurate labeling of the unfamiliar number, and achieves the effect of improving the accuracy in labeling the unfamiliar number.