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
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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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