Unlock instant, AI-driven research and patent intelligence for your innovation.

Personalized government affair service recommendation method and system based on deep learning

A service recommendation and deep learning technology, applied in the field of personalized government service recommendation, can solve the problems of lack of personalization, targeted initiative, lower service quality, and waste of public time, etc.

Active Publication Date: 2017-11-21
EZHOU INST OF IND TECH HUAZHONG UNIV OF SCI & TECH +1
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Information resources are showing explosive growth. It is difficult for users to meet their own needs when faced with a large amount of scattered information. The specificity of information needs is in conflict with the massive disorder of information resources, which wastes public time and reduced service quality
In the traditional e-government information service, the service lacks personalization, pertinence, and initiative. When the government provides information to the public, it is often oriented to the public and has a certain degree of universality, without better consideration of the complexity of user needs. differences and differences, not to mention the deep-seated needs of users, the provision of information stays on the basis of meeting superficial needs

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
  • Personalized government affair service recommendation method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Such as figure 1 As shown, the embodiment of the present invention provides a personalized government service recommendation method based on deep learning, which includes the following steps:

[0040] S1. Obtain information on the ways, habits, and hobbies of users to obtain information, and establish a personalized feature model library for expressing personalized needs of users through the acquired information on ways, habits, and hobbies of users to obtain information;

[0041] S2. Obtain statistical information on the actual needs and potential needs of the public, match the demand patterns of the public's actual needs and potential demand information through the personalized feature pattern database in step S1, and send the demand patterns to the personalized service center;

[0042] S3. Obtain the user's demand information, analyze and obtain the classification corresponding to the user's demand; obtain the refined functional information corresponding to the user'...

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 personalized government affair service recommendation method based on deep learning. The method comprises the steps that S1, a personalized feature mode base used for expressing a personalized demand of a user is established by acquiring information acquisition way, habit and hobby information of the user; S2, realistic demand and potential demand information of statistical public is acquired, matching is performed on the demand mode of the realistic demand and potential demand information of the public through the personalized feature mode base in the step S1, and the demand mode is sent to a personalized service center; S3, demand information of the user is acquired, a classification corresponding to the acquired demand of the user is analyzed, and detailed function information corresponding to the demand of the user is acquired from the classification; S4, personalized feature data structural design is performed on all kinds of information in the personalized service center; and S5, the demand information of the user is retrieved in the personalized service center, and a response is made to the realistic demand or the potential demand of the user.

Description

technical field [0001] The invention relates to the technical field of personalized recommendation, in particular to a method and system for recommending personalized government services based on deep learning. Background technique [0002] With the application and popularization of the Internet, the public increasingly obtains information through various government service channels such as government entity halls, government portals, government service hotlines, mobile phones, and self-service terminals. For the government, e-government is the main One of the goals is to strengthen the self-promotion of the image in the eyes of the public, and implement the overall goal of the government's "simplified, efficient, and clean" image into the daily work of the government; to govern for the people, to be diligent and love the people, and to better serve the public; enhance [0003] The authority of the government in the eyes of the public has won the public's trust, recognition...

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
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/9535G06F18/23G06F18/24
Inventor 陈涛
Owner EZHOU INST OF IND TECH HUAZHONG UNIV OF SCI & TECH