Labelling Unit Converts Raw Traffic Data Into Interpretable User Insights
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Solution Overview
Problem
Current data mining and machine learning algorithms provide raw output data that is difficult for service providers to interpret, lacking a universal language to describe service usage and social relations, often requiring expert knowledge and resulting in inconsistent interpretations.
Innovation Solution
A labelling unit connected to a data mining system that converts communication-related data into intelligible labelling information using pre-configured rules, creating a communication habits vector to describe terminal users' habits, enabling efficient and consistent delivery to third parties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data mining and machine learning algorithms are used to extract user information from traffic data, then useful information on users' profile and behavior can be obtained, but the output data becomes difficult to interpret and understand for service providers
Solution Approach 1:
The patent introduces an intermediary layer (data mining system with standardized output format) between the raw traffic data and service providers. This intermediary translates complex mined data into a standardized, easily interpretable format that service providers can understand and use without requiring expert knowledge of data mining algorithms.
Solution Approach 2:
The patent changes the parameters of data presentation by transforming raw mined data into standardized output with consistent formatting, structured fields, and uniform data types. This parameter transformation makes the data more accessible and easier to process for service providers while preserving all useful information.
2Adaptability or versatility
If different data mining algorithms are applied to traffic data from different communication techniques, then comprehensive user information can be extracted, but inconsistent interpretations and lack of universal language occur
Solution Approach 1:
The patent creates a universal data output format that can accommodate information from multiple communication techniques and data mining algorithms. This standardized format serves as a common language that ensures consistent interpretation across different data sources and processing methods, enabling service providers to uniformly process diverse user information.
3Measurement precision
If expert knowledge is required to interpret data mining output, then accurate understanding of user behavior can be achieved, but the system becomes complex and costly to operate
Solution Approach 1:
The patent implements a self-service system where the data mining output is automatically formatted and standardized without requiring expert intervention for interpretation. The standardized output format enables service providers to independently understand and utilize user behavior data without needing specialized knowledge of data mining algorithms, reducing operational complexity and costs.
Data Source
AI summary
A method and apparatus for providing labelling information to a third party regarding terminal users in a communication network. A labelling unit receives communication related data generated from executed communications of the terminal users, and fetches stored labelling rules which have been configured specifically for the third party. The labelling unit then converts the communication related data into labelling information, where a communication habits vector is determined by applying the fetched labelling rules on the received communication related data, and the labelling information is determined for the terminal user(s) based on the resulting communication habits vector. The determined labelling information is finally delivered to the third party.