Intelligent seating training method and system based on machine learning and data mining

Abstract

The invention discloses an intelligent seating training method and system based on machine learning and data mining. The method comprises the following steps: receiving original audio data of a user terminal; extracting user audio data and environment audio data through the original audio data; analyzing and predicting a user environment constraint condition through an audio data analysis model based on the environment audio data; and determining an intelligent seating communication strategy according to the user environment constraint condition and the user audio data. Thus, the intelligent seating communication strategy can be determined according to the user audio data and the environment audio data, analysis of the environment audio data is added when the intelligent seating communication strategy is determined, the accuracy and efficiency during intelligent communication can be improved, and the formulated seating communication strategy better conforms to the actual scene of the user; and the problem that the authenticity of the information acquired according to the audio data cannot be judged due to single dependence on the audio data of the user is avoided, so that computing and communication resources are fully utilized or manual invalid use is reduced.

Description

technical field [0001] This application relates to the field of big data technology, in particular to a method and system for intelligent agent training based on machine learning and data mining. Background technique [0002] With the continuous deepening of networking, intelligent agent communication has been widely used in various scenarios. For example, database marketing and recruitment activities, database marketing (Data Marketing) is based on data, looking for a set of customers with needs, so as to start business activities. There are two sources of databases: accumulated by the enterprise itself or purchased from outside. It is possible to conduct preliminary screening of intentions for massive leads by means of phone calls through agent communication, which greatly improves the efficiency of lead screening. Existing agent communication mainly relies on artificial or intelligent analysis of user language for communication and response, lack of mining and analysis ...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides an intelligent agent training method and system based on machine learning and data mining to solve the problem that in the prior art, agent communication mainly relies on manual or intelligent analysis of user language for communication and response, and lacks mining and analysis of other comparative factors , leading to inefficiency, low accuracy rate in intelligent communication, unable to adjust the correct sentence in time to answer the question

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