Answerer Extraction System Using Reference History
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Solution Overview
Problem
Existing answerer extraction systems fail to effectively match askers with suitable answerers based on their past questioning and answering behaviors, leading to inefficient problem-solving and knowledge retrieval.
Innovation Solution
An answerer extraction system that includes a receiving unit for questions, a recording unit for reference history, and an extraction unit that analyzes the asker's self-solving ability and preliminary research level to match them with appropriate answerers from user information storage, ensuring accurate and efficient answerer allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing answerer extraction systems are used, then the system structure is simple, but the matching accuracy between askers and answerers is low
Solution Approach 1:
The system performs preliminary actions by recording the asker's reference history before the actual question-answering process. The recording unit stores information about past questions, answers, and reference patterns, which are then utilized by the extraction unit to improve matching accuracy without adding complex real-time processing requirements.
Solution Approach 2:
The system implements feedback mechanisms where the extraction unit continuously refines answerer recommendations based on the recorded reference history. The matching accuracy improves over time as the system learns from past interactions, creating a feedback loop that enhances precision without proportionally increasing system complexity.
2Productivity
If reference history recording is implemented, then answerer matching effectiveness is improved, but information storage requirements increase
Solution Approach 1:
The recording unit extracts and stores only the essential elements of reference history that are relevant for answerer matching, such as question patterns, answer quality indicators, and reference behavior. This selective extraction approach improves problem-solving efficiency while minimizing the volume of stored information by focusing only on critical data elements.
Solution Approach 2:
The system implements partial recording by capturing only the most significant portions of reference history rather than complete transactional data. This approach provides sufficient information for effective answerer matching while avoiding the storage overhead of comprehensive data collection, achieving a balance between productivity improvement and storage requirements.
Data Source
AI summary
An answerer extraction system includes a receiving unit that receives a question from an asker, a recording unit that records a reference history of the asker's referencing past questions or answers, and an extraction unit that extracts an answerer who is to answer the question on the basis of the reference history of the asker.