Digital Assistant Query Routing Circuit
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Solution Overview
Problem
Existing digital assistance systems face issues with high data traffic and ambiguous search results due to contacting multiple machine learning-based retrieval systems for travel route and point of interest queries, leading to varying quality of search results.
Innovation Solution
A processing circuit that receives user search queries, generates feature data, and selects the most suitable retrieval system using a mapping function based on link information and score data, ensuring only the best retrieval system is contacted for providing answer data, utilizing a look-up table or artificial neural network for optimal selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple machine learning-based retrieval systems are contacted for travel route queries, then the system can provide comprehensive search results, but unnecessary high data traffic occurs and search results become ambiguous
Solution Approach 1:
The patent introduces a mapping function as an intermediary layer between the user query and multiple retrieval systems. This mapping function analyzes the search query and selectively routes it to only the most suitable retrieval system, preventing unnecessary data traffic while maintaining comprehensive search capabilities. The mapping function acts as a smart mediator that determines which retrieval system should handle each specific query based on query characteristics and system capabilities.
2Adaptability or versatility
If multiple retrieval systems are contacted for search queries, then more information sources are accessed, but different search results and ambiguous answer data are produced
Solution Approach 1:
The mapping function serves as an intermediary that ensures reliable and consistent search results by intelligently selecting the most appropriate retrieval system for each query. Instead of blindly contacting multiple systems and dealing with conflicting results, the mapping function analyzes query features and routes them to the retrieval system best suited for that specific query type, thereby maintaining result consistency and reliability while still accessing diverse information sources when needed.
Solution Approach 2:
The patent applies local quality by assigning different retrieval systems to different types of queries based on their specialized capabilities. Rather than treating all queries uniformly, the system evaluates each query's characteristics and directs it to the retrieval system with the most appropriate local expertise for that specific query type, ensuring high-quality and consistent results for each domain.
3Quantity of substance
If multiple retrieval systems are used for answering search queries, then more data is retrieved, but the quality of search results varies between systems
Solution Approach 1:
The mapping function acts as a quality-controlled intermediary that prevents retrieval of low-quality data. By analyzing the search query and selecting only the most suitable retrieval system, the mapping function ensures that high-quality data is retrieved without the noise and inconsistencies that would result from querying multiple systems with varying quality standards. This selective approach maintains data quality while still accessing sufficient information to answer user queries effectively.
Data Source
AI summary
The disclosure is concerned with a method for operating a personal digital assistance system, wherein the method comprises that a processing circuit performs the step of receiving a search query expressed by a user for requesting answer data as an answer to the search query. The search query concerns a travel route and/or a specific travel destination and/or a point of interest, POI. The method is characterized in that in a selection step the processing circuit selects at least one of several selectable retrieval systems as the respective best retrieval system to which feature data of the search query are to be sent for obtaining the answer data.