A method and a system for self-concluding models of artificial intelligence quality inspection rules of a customer service system

Abstract

The invention discloses a customer service system artificial intelligence quality inspection rule self-induction model method and system. The method comprises receiving a quality inspection rule modeling request of a user, generating a standard operation flow established by a quality inspection rule according to the quality inspection rule modeling request establishment request; according to the quality inspection rule model, establishing a job flow to generate a deep learning artificial intelligence model selection rule and method corresponding to the self-induction model establishment request of the customer service system deep learning artificial intelligence quality inspection rule; through a special deep learning algorithm and accumulation of data training, semantic feature data and business process feature data of both parties of a call can be obtained. The invention discloses a method and a system for self-concluding models of artificial intelligence quality inspection rules ofa customer service system. According to the method, by importing the call voice transfer data, firstly, marking is carried out by depending on objective evaluation data such as a system order formingrate, a work order standard degree and user satisfaction, and then clustering and classification of call contents are carried out by deep learning to carry out model induction, so that a quality inspection rule is generated.

Description

technical field [0001] The invention relates to the technical field of a self-induction model of deep learning artificial intelligence quality inspection rules for a customer service system, belongs to the field of artificial intelligence combined with application of speech recognition and semantic analysis, and is applicable to finance, insurance, manufacturing, government services, operator business, retail Service, e-commerce service, transportation service and other customer service center businesses that have customer service needs and have standardized requirements for service quality, specifically a method and system for the self-induction model of artificial intelligence quality inspection rules for customer service systems. Background technique [0002] With the development of technology and economic normalization and the improvement of people's living standards, digital transformation is an inevitable trend, and customer experience has become an important indicator ...

AI Technical Summary

Problems solved by technology

And for the present invention, the semantic developer only needs to provide the semantic storage unit, which can cover the needs of most industries through long-term accumulation by the semantic developer. Therefore, the needs of any enterprise can be launched quickly and at low cost, and the The price and cost of developing the customer service system has been reduced to an acceptable level for small and medium-sized enterprises in the industry. However, the customer service setting device and method, as well as the corresponding customer service system and method, do not provide intelligent applications to improve the operator's service level and business acceptance level. The extent is manually set, with rigid rules, low efficiency and poor results

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