Conversation processing method and device, storage medium and program product
By calling the target language model in intelligent customer service to analyze the factors influencing users' appeals, generating candidate appeal information and allowing users to choose, the problem of mismatching solutions and user appeals in the existing technology is solved, and efficient and accurate user problem solving is achieved.
CN119719267APending Publication Date: 2025-03-28ZHEJIANG TMALL TECH CO LTD
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Patent Information
- Application Number
- CN202411579141.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-05
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
When existing intelligent customer service deals with user problems, the solutions determined through knowledge positioning often do not match the actual demands of user problems, resulting in the inability to effectively solve user problems.
Method used
By calling the target language model, the factors influencing users' appeals are analyzed, candidate appeal information is generated, and displayed to users in the dialogue interface to choose, thereby determining the target appeal information and obtaining the corresponding processing plan.
Benefits of technology
It realizes the accurate and rapid acquisition of users' real appeal information without multiple rounds of conversation, thereby effectively solving user problems and improving service efficiency and quality.
✦ Generated by Eureka AI based on patent content.
Abstract
The embodiment of the invention provides a dialogue processing method and device, a storage medium and a program product. In the dialogue processing method, at least one piece of candidate appeal information displayed to a user is obtained by a target language model through analysis according to at least one appeal influence factor corresponding to the user. The target language model can accurately understand the at least one appeal influence factor corresponding to the user based on a strong natural language understanding ability, so that the accuracy of the candidate appeal information obtained through analysis can be effectively improved. In the embodiment of the invention, the at least one piece of candidate appeal information analyzed by the target language model can be displayed to the user, so that the user can select the target appeal information from the candidate appeal information, the real appeal information of the user can be more accurately and quickly obtained under the condition that multiple rounds of dialogues with the user are not needed, and the appeal of the user can be effectively solved.
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