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User consultation question recommendation method and system, computer equipment and storage medium

A problem and user technology, applied in the field of artificial intelligence natural language processing, can solve problems such as low precision, and achieve the effect of improving the accuracy rate, increasing the frequency of interaction, and accurately replying to the user's inquiry intention

Pending Publication Date: 2022-03-04
TAIKANG LIFE INSURANCE CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This paper is used to solve the problem of low accuracy when the text prediction model predicts user consultation problems in the prior art

Method used

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  • User consultation question recommendation method and system, computer equipment and storage medium
  • User consultation question recommendation method and system, computer equipment and storage medium
  • User consultation question recommendation method and system, computer equipment and storage medium

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Embodiment Construction

[0073] The following will clearly and completely describe the technical solutions in the embodiments herein in conjunction with the accompanying drawings in the embodiments herein. Obviously, the described embodiments are only some of the embodiments herein, not all of them. Based on the embodiments herein, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the scope of protection herein.

[0074] It should be noted that the terms "first" and "second" in the description and claims herein and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments herein described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations ...

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Abstract

The invention provides a user consultation question recommendation method and system, computer equipment and a storage medium, and the method comprises the steps: determining an input sequence according to continuous prompt coding information and a prefix text input by a user, the prompt encoder is obtained by training historical user consultation questions and a first text prediction model; predicting to obtain a candidate problem set according to the input sequence and a first text prediction model; and outputting the knowledge points corresponding to the candidate question set to the user. The method can automatically, reasonably and comprehensively generate the continuous prompt coding information suitable for the personalized scene, predicts the user consultation problem by using the continuous prompt coding information and the prefix information input by the user, can standardize the personalized user consultation problem prediction task, recommends the most likely knowledge points consulted by the user in real time, and improves the user consultation efficiency. The user consultation questions are efficiently and intelligently answered, and the accuracy of replying the user consultation intention is improved.

Description

technical field [0001] This article relates to the field of natural language processing of artificial intelligence, in particular to a method, system, computer equipment and storage medium for recommending user consultation questions. Background technique [0002] In the prior art, when human and machine interact, the main thing is that the human inputs the consultation information, and the machine performs semantic matching according to the consultation information, and then determines the content of the reply according to the semantics and replies. [0003] However, because the consultation information entered by humans is non-standard and the content of the consultation is relatively random, this will make it impossible for the robot to accurately perform semantic matching, which will lead to the problem that the consultation information cannot be answered. [0004] The solution to the irregularity and randomness of the human input consultation problem in the prior art is...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F40/126G06F40/216G06F40/35
CPCG06F16/3329G06F40/126G06F40/216G06F40/35
Inventor 李渊刘设伟
Owner TAIKANG LIFE INSURANCE CO LTD