Dialogue Response Matching Using History and Numeric Ranges
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Solution Overview
Problem
Existing human-machine dialogue systems struggle to accurately and efficiently respond to user inputs by considering historical dialogue context and numerical values, leading to suboptimal interaction quality.
Innovation Solution
A method and apparatus that determine whether a user corresponds to historical reply information, match dialogue information with a preset set to identify target dialogue information, and send appropriate reply information, utilizing numerical range matching for numerical values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the dialogue system considers historical reply information and numerical ranges to improve response accuracy, then the matching precision increases, but the system complexity increases due to multiple determination steps
Solution Approach 1:
The patent segments the dialogue processing into distinct modules: historical reply determination module, candidate dialogue matching module, and target dialogue determination module. Each module handles a specific aspect of the processing, making the complex system more manageable and maintainable while achieving high response accuracy through coordinated operation of these segments
Solution Approach 2:
The system performs preliminary determination of historical reply information before proceeding to candidate dialogue matching. By pre-processing and storing historical reply data in an organized manner, the system reduces the computational burden during actual dialogue processing and improves overall efficiency despite the multiple determination steps
2Reliability
If the system performs multiple determination steps including historical reply matching and numerical range verification, then the reliability of responses improves, but the processing time increases
Solution Approach 1:
The system performs preliminary matching of candidate dialogue information with received dialogue information before numerical range verification. By pre-filtering candidates based on dialogue content similarity, the system reduces the number of items requiring time-consuming numerical verification, thus maintaining reliability while reducing overall processing time
Solution Approach 2:
The system uses the received dialogue information itself to guide the matching process, automatically identifying key elements such as numerical values and their contexts without requiring external intervention. This self-service approach streamlines the multi-step determination process and reduces processing time while maintaining reliable results
Data Source
AI summary
A method and an apparatus for processing information. The method comprises: in response to reception of dialogue information inputted by a user, determining whether the user corresponds to historical reply information; in response to the user corresponding to the historical reply information, on the basis of the received dialogue information and the historical reply information corresponding to user, determining whether a preset dialogue information set includes target dialogue information corresponding to the user, the preset dialogue information corresponding to preset reply information and preset historical reply information, the target dialogue information being preset dialogue information which matches the received dialogue information and of which the corresponding preset historical reply information matches the historical reply information corresponding to the user; and in response to the preset dialogue information set including the target dialogue information, sending to the user the preset reply information corresponding to the included target dialogue information.