Information pushing method and device based on human-computer interaction and computer equipment

Abstract

The invention relates to an information pushing method and device based on human-computer interaction and computer equipment. The method comprises the following steps: receiving session information sent by a user terminal, and carrying out preprocessing and word segmentation processing on the session information to obtain a plurality of session texts; inputting the plurality of session texts intoan intention recognition model, and outputting an intention type corresponding to the session information; inputting the plurality of session texts into a trained information extraction model, and calculating the matching degree of the plurality of session texts and a plurality of structured texts in a structured corpus to obtain target field information corresponding to the plurality of session texts; generating corresponding target consultation information according to the intention type and the target field information; and matching corresponding target push information according to the target consultation information, and sending the target push information to the corresponding user terminal. By adopting the method, the accuracy of identifying the structured text in the specific fieldin the session information can be effectively improved, so that the matched information can be accurately and effectively pushed to the user.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to an information push method, device and computer equipment based on human-computer interaction. Background technique [0002] With the development of economy and society, health issues are getting more and more attention. With the rapid development of computer technology, artificial intelligence technology is widely used, so some human-computer interaction systems based on artificial intelligence have emerged. Through online question and answer in the human-computer interaction system, it can assist in answering users' consultation questions. For example, for a specific medical field, the relevant knowledge in the medical field is highly specialized, but the user's question information is usually unstructured natural language information, which is not conducive to the acquisition and analysis of target information. [0003] The existing methods usually match the corre...

AI Technical Summary

Problems solved by technology

For example, for a specific medical field, the relevant knowledge in the medical field is highly specialized, but the user's question information is usually unstructured natural language information, which is not conducive to the acquisition and analysis of target information

[0003] The existing methods usually match the corresponding answer information by identifying and extracting keywords in user question information. For structured text in a specific field, it cannot be accurately extracted and identified, so that it is impossible to accurately and effectively identify the text in a specific field. Structured text and corresponding target intentions, resulting in low accuracy of information extraction and target information push

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