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Method and device for recommending consultation questions to user

A problem and user technology, applied in the field of recommending consulting problems to users, it can solve problems such as the list of consulting problems cannot cover the problems users want to know, and can not accurately predict multiple consulting problems of users at the same time, so as to improve scalability and improve scalability. Flexibility, improved forecast accuracy, improved collection efficiency

Active Publication Date: 2019-08-23
ADVANCED NEW TECH CO LTD
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the customer service system in the prior art recommends consultation questions, it usually cannot accurately predict multiple consultation questions that may be raised by the user at the same time.
As a result, the list of consulting questions recommended to the user cannot cover the questions the user wants to know, so the user still needs to wait for the customer service to respond

Method used

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  • Method and device for recommending consultation questions to user
  • Method and device for recommending consultation questions to user
  • Method and device for recommending consultation questions to user

Examples

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Embodiment Construction

[0030] The subject matter described herein will be discussed below with reference to example implementations. It should be understood that the discussion of these implementations is only to enable those skilled in the art to better understand and realize the subject matter described herein, and is not intended to limit the protection scope, applicability or examples set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as needed. Additionally, features described with respect to some examples may also be combined in other examples.

[0031] As used herein, the term "comprising" and its variants represent open terms meaning "including but not limited to". The term "based on" means "based at least in part on". The terms "one embodiment" and "an embodiment" mean "at least one embodiment." The term "anoth...

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Abstract

The invention relates to a method and device for recommending a consultation problem to a user. The method comprises the following steps: predicting at least one consultation problem of a user by using a problem prediction model based on user characteristic data of the user; and recommending the at least one predicted consultation question to the user, wherein the question prediction model is trained by using a multi-marker sample, the multi-marker sample comprises user feature data and question marker data, and the question marker data comprises at least two question markers for different types of consultation questions.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular, to a method and device for recommending consultation questions to users. Background technique [0002] Customer service is a problem that most Internet companies will face at present. In the traditional intelligent customer service system, after the user asks a question, the customer service system provides the answer to the question. In order to improve customer service efficiency and enable users to get the answers they want as soon as possible, there is currently a customer service system that recommends questions to users when they enter the customer service system. In this kind of customer service system, the user can select a consulting question from a list of recommended consulting questions and obtain corresponding answers. [0003] In an actual customer service scenario, there may be multiple consulting questions that users want to ask. However, when the ...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06N3/04
CPCG06F16/3329G06N3/045
Inventor 张雅淋李龙飞
Owner ADVANCED NEW TECH CO LTD
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