An improved deep learning intelligent response system based on computer cloud data

A deep learning and intelligent answering technology, applied in machine learning, special data processing applications, calculations, etc., can solve problems such as intelligent question-answering robot systems that have not yet been related to technology, and achieve a high degree of humanization

Active Publication Date: 2019-11-22
天聚地合(苏州)科技股份有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, there is no relevant technology for the intelligent question-answering robot system on university campuses that combines mobile Internet and big data mining

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
  • An improved deep learning intelligent response system based on computer cloud data
  • An improved deep learning intelligent response system based on computer cloud data
  • An improved deep learning intelligent response system based on computer cloud data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] Such as figure 1 As shown, for the defects of the prior art, the present invention proposes an improved deep learning intelligent response system based on computer cloud data, which includes the following units:

[0049] The positioning unit is used to locate the real-time position of the user, and send the real-time position information to the map information rendering unit. Optionally, the positioning unit can realize the positioning function through an app such as a mobile phone.

[0050] The map information drawing unit is used to receive the real-time location information sent by the positioning unit, and form the user's behavior trajectory based on the real-time location information, segment the user's behavior trajectory, and describe the trajectory segments; The descriptive information of the segmented trajectory defines the user’s activity area; it is also used to draw a complete map of a specific area in advance, and mark each point of interest in the specifi...

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 provides an improved advanced study intelligent response system based on the computer cloud data. The intelligent response system comprises a positioning unit, which is used to locate a user in real time and to send the real-time location information to a cartographic information delineation unit; and the intelligent response system comprises the cartographic information delineation unit, which is used to demarcate an activity zone of the user based on the user description information of a trajectory segment within a preset time and is also used to demarcate in advance an entire map of a specific region and marks in detail on the map each interesting point in the specific region; the intelligent response system further comprises an information receiving unit which is used to send the processed information to a database unit, and a database unit, which is used to build a knowledge library by collecting and organizing the questions raised by each user and the solutions of the example knowledge materials answered by each user, and to extract the candidate keywords from the example materials, and to manually mark the contents of the keywords, in order to subsequently reference the keywords; the intelligent response system also comprises a social network description unit, which is used to obtain the correlations and the interactions between different users and the different social roles of different role players between the users.

Description

technical field [0001] The invention relates to the technical field of intelligent question-answering robots, in particular to an improved deep learning intelligent answering system based on computer cloud data. Background technique [0002] Based on the current popular mobile Internet platform, the research on intelligent question-answering robot system is an emerging research field. The research areas involved include the dynamic change monitoring of users’ real-time location on the university campus based on the mobile Internet platform, the changing rules of user’s activity location and scope, the routine route definition of user’s activities and personalized task recommendation, combined with user context elements The integration of the artificial intelligence knowledge base and the question-answering expert system and other technical fields related to the intelligent question-answering robot on the university campus on the mobile Internet. [0003] In the prior art, t...

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 Patents(China)
IPC IPC(8): G06F16/332G06F16/387G06F16/35G06N20/00
CPCG06F16/90332G06F16/9537G06N20/00
Inventor 张兆万
Owner 天聚地合(苏州)科技股份有限公司
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