Hot topic chatting method, system and equipment based on intelligent agent and storage medium

Through real-time updates of large language models and topic vector databases, the intelligent device can accurately filter and generate hot topic replies, solving the problems of coherence and real-time in multiple rounds of conversations and improving the user experience.

CN120429402APending Publication Date: 2025-08-05FREE-LEVEL (SHANGHAI) INFORMATION TECHNOLOGY CO LTD

Patent Information

Application Number
CN202510518337.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-24
Publication Date
2025-08-05

AI Technical Summary

Technical Problem

The existing agent chat methods are difficult to maintain coherence and contextual consistency in multiple rounds of interactions, and information lags or blunt expressions are prone to occur when dealing with hot topics, making it difficult to accurately capture and generate related hot topics in real time.

Method used

Analyze user input data and historical dialogue data through a large language model, build a topic vector database and update it in real time, filter hot topics using cosine similarity, and generate reply content with auxiliary tools, detect topic ending intentions to update historical dialogue data.

Benefits of technology

Real-time and accuracy of chatting on hot topics, enhance the generation of user personalized content, improve the fluency of conversations and emotional resonance of users.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a hot topic chatting method, system and device based on an intelligent agent and a storage medium. The method comprises the steps of extracting key intention information through a large language model according to current input data and historical dialogue data; constructing a topic vector database and automatically updating; retrieval is performed based on cosine similarity, and hot topics are screened out; the hot topics are integrated into a Prompt template, an auxiliary tool is called in real time to obtain auxiliary information, and a large model is used for generating reply content based on the Prompt template according to the current input data and the auxiliary information; and storing the current input data and reply contents, and updating the historical dialogue data. Personalized emotional appeals of a user are analyzed according to data input by the user through a large language model, key intention information is extracted, a topic vector database is constructed, topics most related to current user input are screened out, and by means of auxiliary tools, the real-time performance of hot topics can be guaranteed, and emotional resonance with the user can be enhanced.
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Citation Information

Patent Citations

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