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E-commerce field-oriented problem discrimination method

A discrimination method and problem technology, which is applied in the field of e-commerce, can solve the problems of multi-long-tail product inquiries, problems that cannot be found and solved, and achieve the effects of increasing weight, improving user experience, and reducing dependence

Pending Publication Date: 2021-05-25
广州探域科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing customer service robots can only deal with simple and highly repetitive questions. However, in reality, long-tail questions and especially important questions about product inquiries cannot be found and solved.

Method used

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  • E-commerce field-oriented problem discrimination method

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Embodiment Construction

[0033]The present invention will be specifically described below with reference to the accompanying drawings and specific examples.

[0034]Such asfigure 1The present invention is shown in an e-commerce field, which mainly includes the following steps: S1: Get training data set. S2: Tagging the training data set, the label includes the trade-level long tail problem and non-commodity-level long tail issues. S3: Training the classification model by tagging the data set. S4: Receive the problem of current buyers. S5: Get a classification result of the problem into a well-trained classification model. According to the above steps, it is possible to identify the categories of the user's problems, specific, identifying the problem of the user is the product level long tail problem and non-commodity long tail issues, and do different processing according to the specific type of the problem, great Improve intelligent reply in smart customer service robots. The above steps are described below.

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PUM

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Abstract

The invention discloses an e-commerce field-oriented problem discrimination method. The method comprises the following steps of obtaining a training data set; labeling the training data set; training a classification model through the labeled data set; receiving a question sent by a current buyer; and inputting the question into the trained classification model to obtain a classification result. According to the e-commerce field-oriented problem discrimination method, commodity-level long-tail problems and non-commodity-level long-tail problems can be well distinguished and found, and different processing is carried out according to specific types of the problems, so that intelligent reply of an intelligent customer service robot is greatly improved, and the user experience is improved.

Description

Technical field[0001]The present invention relates to a method of discriminating the problem of e-commerce.Background technique[0002]Usually in the field of e-commerce customer service, in order to address the growing buyer's consulting needs, merchants generally hire a large number of customer service staff to deal with various needs, thereby bringing high labor costs.[0003]In order to solve this problem, the customer service robot has emerged. Customer service robots can reduce operating costs for business stores and improve operational efficiency. Customer Service Robot Through natural language processing technology intelligent processing buyers' various textual needs.[0004]Existing customer service robots can only handle simple and repetitive problems, but the reality is more than long-tail issues and especially important questions about commodity query cannot be found and resolved.Inventive content[0005]The present invention provides a method of discriminating the problem of e-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/36G06F40/289G06K9/62G06Q30/06
CPCG06F16/3329G06F16/374G06F40/289G06Q30/0601G06F18/24G06F18/214
Inventor 王勤勤
Owner 广州探域科技有限公司