Query System Using Intention Extraction for Accurate Disease Information
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Solution Overview
Problem
Users face challenges in efficiently acquiring disease-related information over networks, as traditional methods involve browsing page by page and often result in inaccurate answers due to the vast amount of solutions available.
Innovation Solution
An apparatus and method for querying questions that acquire user input information and intention information, using answer generation rules to produce accurate answers. This involves generating a first answer based on input and intention information, using a question and answer model, and determining credibility to provide relevant information efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users browse page by page to acquire disease-related information, then they can access a vast amount of solutions, but the process is time-consuming and efficiency is low
Solution Approach 1:
The patent introduces an intermediary system comprising an information processing device that acts as a mediator between users and the vast amount of disease-related information. This device automatically processes user queries, extracts key information, and retrieves relevant answers from multiple data sources, eliminating the need for users to manually browse through numerous pages and significantly reducing query time while maintaining access to comprehensive information.
Solution Approach 2:
The system performs preliminary actions by pre-processing and organizing disease-related information from multiple sources before users need it. The information processing device maintains a structured database of disease information, symptoms, and treatments, and pre-establishes retrieval pathways, so when users submit queries, the system can quickly retrieve accurate answers without requiring users to spend time searching through unorganized data.
2Quantity of substance
If users browse through vast amounts of solutions page by page, then they may find relevant information, but the accuracy of answers deteriorates due to information overload
Solution Approach 1:
The patent applies the extraction principle by using the information processing device to extract only the most relevant and accurate information from the vast amount of available disease-related solutions. The system identifies and extracts key symptoms, diagnostic criteria, and treatment recommendations from multiple sources, filtering out redundant or conflicting information, and presents only the most reliable answers to users, thereby maintaining high accuracy even when accessing comprehensive data.
Solution Approach 2:
The system implements feedback mechanisms where the information processing device continuously evaluates the relevance and accuracy of retrieved information based on user queries and interaction patterns. The system refines its information extraction and retrieval processes based on this feedback, ensuring that the most accurate and relevant disease-related information is consistently provided to users, improving answer precision over time.
3Quantity of substance
If traditional browsing methods are used to query disease information, then users can access comprehensive data, but user experience deteriorates due to manual effort and time consumption
Solution Approach 1:
The patent implements self-service by enabling the information processing device to automatically handle the entire information retrieval process without requiring manual browsing or filtering by users. Users simply input their symptoms or queries, and the system autonomously searches, extracts, analyzes, and presents comprehensive disease-related information from multiple data sources, eliminating manual effort while maintaining data comprehensiveness.
Solution Approach 2:
The information processing device serves as an intermediary that shields users from the complexity of accessing comprehensive disease data. It automatically manages the retrieval, filtering, and presentation of information from multiple sources, providing users with a simplified interface where they can obtain comprehensive disease information without needing to understand or navigate through the underlying data structures or search processes.
Data Source
AI summary
Provided is a method for querying questions. The method includes: acquiring input information of a user; acquiring intention information of the user based on the input information of the user; determining an answer generation rule; and generating, based on the input information and the intention information, a first answer in accordance with the answer generation rule, and providing the first answer to the user.