Intelligent Conversation Round Control Using Relevance and Time
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Solution Overview
Problem
Conventional AI-generated conversations often have a fixed number of rounds, leading to inflexibility and incompatibility with the logic of ongoing interactions, reducing intelligence and consistency.
Innovation Solution
An information processing method that determines relevance and time information between conversation rounds to dynamically adjust the number of subsequent conversation rounds, ensuring compatibility with the current interaction scenario.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed number of conversation rounds is used, then the system structure is simple and easy to implement, but the adaptability to different conversation scenarios is reduced
Solution Approach 1:
The patent implements dynamic adjustment of conversation round numbers based on real-time analysis of conversation relevance and time information. The system transitions from a static fixed-round structure to a dynamic adaptive structure where the number of rounds is determined by analyzing relevance between conversation rounds and time elapsed, allowing the system to adapt to different conversation scenarios while maintaining reasonable complexity through automated decision-making algorithms.
2Reliability
If subsequent conversation information is generated with a fixed number of rounds, then the generation process is efficient, but the intelligence and logical consistency of the conversation is reduced
Solution Approach 1:
The patent employs feedback mechanisms where the system continuously analyzes the relevance between conversation rounds and time information during the conversation process. This feedback loop allows the system to adjust the number of subsequent conversation rounds based on the actual conversation state, ensuring logical consistency and intelligence while maintaining efficiency through automated relevance assessment rather than manual intervention.
Data Source
AI summary
An information processing method includes determining a first conversation group for conducting a conversation with a user that includes a plurality of conversation rounds each being a conversation between user input information and corresponding question/answer information, determining relevance between at least two conversation rounds in the first conversation group and time information associated with each conversation round in the first conversation group during the conversation, and determining a number of conversation rounds of a second conversation group to be output based on at least one of the relevance or the time information.