Query Answering System Failure Rate Routing
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Solution Overview
Problem
Computer-based query-answering systems, such as knowledge databases, face inefficiencies in processing queries related to rapidly changing or trending topics, often failing to provide timely answers due to lack of updated information, especially for bursty or emerging trends like weather patterns or sporting events, which can lead to a poor user experience.
Innovation Solution
A method and system that determine the failure rate of queries related to a subject by analyzing the number of undetermined queries over a period, using neural networks to predict query rates, and sending text data to a query-answering component different from the knowledge database when the failure rate exceeds a threshold, ensuring timely and accurate responses to trending queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If queries are processed using a knowledge database, then accurate answers can be provided for well-documented topics, but the system fails to provide timely answers for trending or bursty topics due to lack of updated information
Solution Approach 1:
The patent introduces an intermediary component (query-answering component) that acts as a mediator between the knowledge database and the user. When the knowledge database cannot provide an answer (detected through failure rate analysis), the intermediary redirects the query to alternative sources or components that can handle trending topics, thus maintaining both reliability for well-documented topics and adaptability for emerging topics.
Solution Approach 2:
The system implements feedback mechanisms by monitoring query failure rates and using neural networks to predict trends. When the failure rate exceeds a threshold, the system learns from this feedback and routes future similar queries to appropriate components, improving both answer accuracy and adaptability to trending topics over time.
2Reliability
If the system monitors and analyzes query failure rates in real-time, then it can identify information gaps and improve response accuracy, but the processing complexity and computational resources increase
Solution Approach 1:
Instead of analyzing every single query in detail, the system applies partial action by monitoring only the failure rate metric and using neural networks only when failure rates exceed thresholds. This selective approach improves response accuracy for problematic queries while avoiding the excessive computational complexity of analyzing all queries uniformly.
Solution Approach 2:
The system changes parameters dynamically by adjusting the threshold for failure rate monitoring and using neural networks to predict when intervention is needed. This parameter-based approach allows the system to maintain reliability improvements while controlling processing complexity through adaptive threshold management.
3Productivity
If the system routes queries to alternative query-answering components when failure rate exceeds threshold, then timely answers for trending topics can be provided, but the system architecture becomes more complex
Solution Approach 1:
The patent segments the query-processing function into distinct components: a knowledge database for well-documented topics and alternative query-answering components for trending topics. The routing mechanism divides query flow based on failure rate analysis, improving productivity by directing queries to appropriate segments while managing architectural complexity through modular design.
Solution Approach 2:
The system implements dynamic routing that adapts query distribution based on real-time failure rate monitoring. When failure rates exceed thresholds, the system dynamically redirects queries to alternative components, improving processing speed for trending topics while maintaining a flexible architecture that can adjust to changing conditions without requiring complex static design.
Data Source
AI summary
A method is provided. The method includes determining a number of queries for which an answer was undetermined from a knowledge database and are related to a subject. The method includes determining a period of time associated with receipt of the queries by the knowledge database. The method includes generating, based on the number of queries and the period of time, rate data indicative of a failure rate. The method includes determining that the failure rate satisfies a failure rate condition. The method includes sending text data representative of a query of the queries to a query-answering component different from the knowledge database. Other methods and systems are also provided.