Deep learning-based intelligent response system

A deep learning and intelligent response technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as customer loss, waste of communication costs, bad customer experience, etc., and achieve a high matching effect

Active Publication Date: 2016-12-07
刘丽君
View PDF6 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These data exist in the CTI telephone system, but because the business application system cannot obtain the data, it cannot be provided to the user, so that the user cannot know how many people are currently waiting in line and how long it will take to wait
It not only wastes the user's time and communication costs, but also wastes the communication costs of the manufacturers who use the customer service system. Moreover, if the waiting time is too long, it will cause a very bad customer experience and lead to customer loss

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Deep learning-based intelligent response system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Such as figure 1 Shown, a kind of intelligent response system based on deep learning, it comprises following unit:

[0036] The information acquisition unit is used to obtain the voice or text information input by the user through the user terminal. When it is voice information, it recognizes the voice information and converts it into text information and jumps to the semantic acquisition unit. When it is text information, it directly jumps to Semantic acquisition unit.

[0037] The semantic acquisition unit is used to obtain the semantics of the voice or text information input by the user through a deep learning algorithm;

[0038] An answer matching unit is used to select the best answer from a pre-set knowledge base by using a fuzzy matching method and an internal reasoning mechanism;

[0039] The answer display unit is used for displaying the best answer to the user.

[0040] Optionally, in the deep learning-based intelligent response system according to the embo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a deep learning-based intelligent response system. The system comprises the following units: an information acquisition unit, a semanteme acquisition unit, a response matching unit and a response display unit, wherein the information acquisition unit is used for acquiring voice or text information input by a user, identifying the voice information, converting the voice information into the text information and jumping to the semanteme acquisition unit when the obtained information is the voice information, and directly jumping to the semanteme acquisition unit when the obtained information is the text information; the semanteme acquisition unit is used for acquiring semanteme of the voice or text information input by the user through a deep learning algorithm; the response matching unit is used for selecting an optimal answer from a preset knowledge base by utilizing a fuzzy matching method and an internal reasoning mechanism; and the response display unit is used for displaying the optimal answer to the user.

Description

technical field [0001] The invention relates to the technical field of big data cloud computing, in particular to an intelligent response system based on deep learning. Background technique [0002] As an effective business promotion and customer service model, the customer service system is increasingly valued and used by many enterprises and institutions. In the usual telephone customer system mode, the user dials the customer service hotline. After the customer service system connects to the hotline, it provides the user with different service options through voice. When the user selects the corresponding service item according to the prompt, the customer service system will The user is connected to the corresponding service group, and the hotline is answered by relevant personnel. In the customer service system, the IVR (InteractiveVoiceResponse, Interactive Voice Response) system is widely used. It uses pre-recorded or TTS text-to-speech technology for automatic respon...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 李成华刘丽君
Owner 刘丽君
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap