Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

User portrait construction method, device and system based on user activity address

A user activity and user technology, applied in the field of data communication, can solve the problems of inaccurate data and troublesome operation, and achieve the effect of improving the degree of intelligence

Active Publication Date: 2018-02-16
陈包容
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods have the problem of "troublesome operation and inaccurate data"

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
  • User portrait construction method, device and system based on user activity address
  • User portrait construction method, device and system based on user activity address
  • User portrait construction method, device and system based on user activity address

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be further described below in conjunction with drawings and embodiments.

[0051] Such as figure 1 As shown, a method of user portrait based on user activity address, including:

[0052] step 1:

[0053] (1.1) Preset a user portrait tag library based on time period tags and frequency thresholds of user activity addresses, where the user activity addresses refer to multiple close physical locations or / or within a set distance threshold and IP address;

[0054] (1.2) Establish an artificial neural network in advance through candidate user portrait data samples based on user activity addresses, and use the learning and training module to train the neural network until the network converges; or establish an artificial neural network through candidate user portrait data samples based on user activity addresses A knowledge base, where the knowledge base is a knowledge map;

[0055] Step 2: preset the distance threshold of the similar physical lo...

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 a user portrait construction method based on a user activity address and a corresponding system. According to the method, by acquiring and analyzing physical geographical positions or / and IP addresses of a user, implications of the physical geographical positions or / and the IP addresses used by the user in different time periods relative to the user activity address are analyzed; and by analyzing the time periods when the user uses the physical geographical positions or / and the IP addresses and corresponding frequency, finally the user activity address is further input into an artificial neural network training or inference machine, a final user portrait result based on the user activity address is obtained, and therefore an accurate user portrait can be automatically constructed. Compared with the method that a large amount of user data needs to be collected in the prior art, the intelligent degree of user portrait construction is increased.

Description

technical field [0001] The present invention relates to the field of data communication, in particular, to a method, device and system for user portraits based on user activity addresses. Background technique [0002] Mobile terminal user portraits are usually a collection of tags that describe the characteristics of mobile terminal users. Wherein, the label set includes sub-feature label sets such as home address, daily address, study unit, work unit, frequent dining place, leisure and entertainment place, and tourist destination of the mobile terminal user. [0003] At present, the methods of collecting the sub-feature tag set of the portrait of the mobile terminal user mainly include manual filling, acquisition according to the user's web browsing records, online traces and other online behaviors. These methods have the problem of "troublesome operation and inaccurate data". [0004] In view of this, the present invention proposes a method for user portrait based on use...

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): G06F17/30H04L29/08
CPCG06F16/2465G06F16/9537H04L67/535
Inventor 陈包容
Owner 陈包容
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com