Inference Engine Contact Structure Data Telecom Resource Allocation
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Solution Overview
Problem
Telecom operators do not leverage social networking information from their networks to provide enhanced services, lacking mechanisms to extract and utilize data on user relationships from communication services like voice calls, video calls, SMS, and instant messaging to optimize resource allocation and service offerings.
Innovation Solution
A method and inference engine that process telephone communication data to generate contact structure data, expressing connectivity between telephone parties, allowing for better resource allocation and personalized service provision based on interaction patterns, such as providing dedicated lines or special security features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If telecom operators extract and process social networking information from communication data, then service customization and resource allocation efficiency are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments the complex data processing task into distinct modules: data collection from communication records, social network information extraction, contact structure analysis, and service customization. This segmentation allows each component to handle specific aspects of the complex problem independently, reducing overall system complexity while maintaining high productivity in resource allocation.
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms raw communication data into structured contact structure information. This intermediary layer acts as a mediator between the complex raw data and the service customization output, simplifying the processing requirements by pre-organizing and interpreting the data before it reaches the service deployment stage.
2Adaptability or versatility
If telecom operators leverage user interaction data to build social networks, then service personalization is improved, but loss of information and data privacy concerns increase
Solution Approach 1:
The patent extracts only the necessary social networking information from the broader communication data set. By selectively extracting contact structure data and relationship patterns while leaving other sensitive information untouched, the system achieves service personalization without unnecessarily exposing or losing critical privacy information.
Solution Approach 2:
The patent applies different processing quality levels to different data elements. Contact structure information receives detailed analysis for service customization, while other data elements are processed at a lower detail level or anonymized. This local quality approach ensures personalized services are delivered where needed without compromising overall data privacy.
3Adaptability or versatility
If telecom operators process and analyze communication data to identify contact structures, then service customization is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary processing of communication data to extract and pre-organize contact structure information before service customization is needed. By completing the data extraction and structuring work in advance, the system reduces the processing time required when actually deploying customized services, as the foundational data is already prepared.
Data Source
AI summary
A method and an inference engine for processing telephone communication data of telephone parties of a telephone network are provided to allow better services and better allocation of resources in a telephone network. The inference engine comprises an obtainer for obtaining telephone communication data that associates telephone parties identifiable by telephone network identifiers with usage data that describes usage of one or more services of a telephone network. Further, the inference engine also comprises a generator for generating contact structure data for a set of the telephone parties based on the telephone communication data, wherein the contact structure data expresses a degree of connectivity between each member of at least a part of the set and one or more other members. The generated data gives the required information to improve services and resource allocation in the network.