Service Request Error Correction via Self-Learning Memory
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Solution Overview
Problem
Existing information systems lack user friendliness, as users must transmit service requests with precise syntax, and typing errors hinder service identification, leading to unsuccessful service provision.
Innovation Solution
Implementing a self-learning error correction method that stores successful service requests and automatically updates to correct errors by finding the closest matching request in memory, allowing for automatic adaptation to new services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system requires precise syntax for service requests, then service identification accuracy is improved, but user friendliness deteriorates
Solution Approach 1:
The system pre-stores correct service request patterns and keywords in memory before they are needed. When a service request is received, the system compares it against these pre-stored correct patterns to identify and correct errors, rather than requiring the user to input perfectly formatted requests from scratch.
Solution Approach 2:
The error correction device acts as an intermediary between the user's service request and the service identification system. It receives the potentially erroneous request, compares it with stored correct patterns, corrects discrepancies, and forwards the corrected request to the service identification system, thereby shielding users from syntax requirements while maintaining accurate service identification.
2Device complexity
If manual updates are required for error correction capabilities, then system control is improved, but adaptability to new services deteriorates
Solution Approach 1:
The error correction device automatically learns and adapts to new services by storing correct service request patterns whenever services are successfully identified. This self-updating mechanism eliminates the need for manual configuration while maintaining accurate error correction capabilities for both existing and new services.
Solution Approach 2:
The system implements a feedback mechanism where successful service identification events automatically feed information back into the error correction device's memory. When a service is successfully identified, the corresponding correct request pattern is stored and used for future error correction, creating a self-improving system that adapts to new services automatically.
Data Source
AI summary
An information system including subscriber stations (MS), at least two service sources (2 to 5) providing a respective service to subscriber stations of the system, and an access point (1) arranged to analyze a service request in order to forward the service request to the service source (2) offering the service, the service sources (2 to 5) being arranged to analyze a received service request in order to provide the subscriber station (MS) with the requested service. In order to improve the user friendliness of the system said system further includes a memory (7) for storing service requests which have led to successful identification of the requested service, and an error correction device (6) arranged to correct a received service request by utilizing the service requests stored in the memory (7) if no service source or no service can be identified.