Data query method, device and equipment and computer readable storage medium

A data query and preset value technology, applied in the field of intelligent customer service, can solve problems such as increased procurement and maintenance costs of intelligent customer service, waste of resources, etc., and achieve the effects of improving user experience, saving resources, and reducing procurement and maintenance costs

Inactive Publication Date: 2020-01-17
浙江诺诺网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Users may ask a large number of common questions. If each organization and department separately configures a complete set of intelligent customer service system to answer each user's question one by one, the procurement and maintenance costs of intelligent customer service will be greatly increased, and resources will be wasted seriously.

Method used

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  • Data query method, device and equipment and computer readable storage medium
  • Data query method, device and equipment and computer readable storage medium
  • Data query method, device and equipment and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] see figure 1 , figure 1 It is an implementation flowchart of the data query method in the embodiment of the present invention, and the method may include the following steps:

[0054] S101: Receive a question to be answered sent by a user terminal.

[0055] When a user needs to inquire about local policies, product prices of a certain company, etc., the user terminal can be used to send questions to be answered to the customer service system. The customer service system receives the questions to be answered sent by the user terminal.

[0056] The user terminal may be a mobile phone, a tablet computer, or the like. The question to be answered may be a voice question asked by the user through the user terminal.

[0057] S102: Using the pre-established deep semantic matching model to extract the feature vector of the question to be answered, and obtain the feature vector to be matched.

[0058] The general knowledge base in the professional field can be constructed by...

Embodiment 2

[0070] see figure 2 , figure 2 It is another implementation flowchart of the data query method in the embodiment of the present invention, and the method may include the following steps:

[0071] S201: Receive a question to be answered sent by the user terminal.

[0072] S202: Using the pre-established deep semantic matching model to extract the feature vector of the question to be answered, and obtain the feature vector to be matched.

[0073] S203: Calculate the similarities between the feature vectors to be matched and the feature vectors of each library respectively.

[0074] Among them, the feature vectors of each library are feature extraction for each service problem group in the target server knowledge base corresponding to the user terminal by using the deep semantic matching model, and using the deep semantic matching model to establish a communication connection with each server knowledge base Each general question group in the general knowledge base is obtaine...

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PUM

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Abstract

The invention discloses a data query method. The method comprises the steps of receiving a to-be-answered question sent by a user terminal; extracting a feature vector of the to-be-answered question by utilizing a pre-established deep semantic matching model to obtain a to-be-matched feature vector; respectively calculating the similarity between the to-be-matched feature vector and each library feature vector; wherein each library feature vector is obtained by performing feature extraction on each service problem group in a target server knowledge base corresponding to the user terminal and performing feature extraction on each general problem group in a general knowledge base in communication connection with each server knowledge base; determining the library feature vector correspondingto the maximum value in the similarities as a target feature vector, and obtaining target answer data of a question group corresponding to the target feature vector; and returning the target answer data to the user terminal. According to the invention, the user experience is improved, the procurement and maintenance costs are greatly reduced, and resources are saved. The invention furthermore discloses a data query device and equipment, and a storage medium, which have corresponding technical effects.

Description

technical field [0001] The present invention relates to the technical field of intelligent customer service, in particular to a data query method, device, equipment and computer-readable storage medium. Background technique [0002] The customer service department of an enterprise is an important communication channel between enterprises and users. Customer service personnel face a large number of repeated user questions every day, and the work is heavy and inefficient. In order to reduce customer service costs and improve service efficiency, intelligent customer service systems have been widely adopted by enterprises. In order to solve the common repeated questions of users, the general intelligent customer service system organizes the knowledge base of common questions and configures the corresponding answers, and uses information retrieval or natural language processing technology to implement. [0003] For general enterprises, a set of intelligent customer service syste...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/35G06F40/30G06Q30/02
CPCG06Q30/0281G06F16/3329G06F16/35
Inventor 刘海明
Owner 浙江诺诺网络科技有限公司
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