Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Position recommending method and system based on position crowd characteristics

A technology for recommending methods and crowds, applied in location-based services, special data processing applications, instruments, etc., can solve the problems of low efficiency and low accuracy, and achieve the effect of not being restricted by regional scope and realizing regional scope restrictions.

Inactive Publication Date: 2016-04-20
中国联合网络通信有限公司广东省分公司 +1
View PDF7 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a location recommendation method and system based on location crowd characteristics, which solves the problem of low efficiency and low accuracy in the prior art that requires offline manual data collection

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
  • Position recommending method and system based on position crowd characteristics
  • Position recommending method and system based on position crowd characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0043] Such as figure 1 As shown, a location recommendation method based on location crowd characteristics, including:

[0044] S1, grid all base station sectors in the area to be tested, and mark the grid;

[0045] S2. Collect real-time signaling data of mobile users in the area to be tested, and find out the mobile users appearing in the gridded area according to the signaling data; wherein, analyze the signaling data in units of days to find out the gridded area. mobile users present in the area;

[0046] S3, labeling the mobile users appearing in each grid, and counting the number of users with various labels in each grid described under each grid identifier;

[0047] S4, clustering the mobile users in each o...

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 relates to a position recommending method and system based on position crowd characteristics. The method comprises the following steps: S1, meshing all base station sectors in a region to be detected and marking grids; S2, acquiring total user real-time signaling data of the region to be detected, and finding out mobile users appearing in the meshed region according to the signaling data; S3, labeling the mobile users appearing in each grid, and counting up the quantity of the users with various types of labels of each grid under each network mark; S4, clustering the mobile users in each base station sector according to a statistical result of the step S3, so as to obtain the position crowd characteristics of the base station sectors; S5, providing position recommending information for site selection of marketing campaigns according to the position crowd characteristics. With the adoption of the position recommending method and system based on the position crowd characteristics, provided by the invention, the problems in the prior art that data needs to be manually acquired offline so that the efficiency is low and the accuracy is not high are solved.

Description

technical field [0001] The present invention relates to site selection for marketing activities, in particular to a location recommendation method and system based on location crowd characteristics. Background technique [0002] For a series of planning and planning activities such as marketing activities, offline site selection, and crowd clustering, the traditional method is to adopt the market research method, that is, to manually collect several micro-market factors offline, including measuring crowd density, crowd characteristics, and research. Income consumption level and crowd preference etc. However, research methods usually take a long time, consume a lot of manpower and material resources, and some market factors are difficult to guarantee accuracy, and the coverage is low. With the rapid popularization of mobile Internet and the rapid development of information technology, this kind of information can already be processed and processed, applied models, mining and...

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): H04W4/02H04W64/00G06F17/30
CPCH04W4/021G06F16/487H04W64/00
Inventor 李慧赵瑞龙冯冲鄞乐炜王成刚柯东晓黄茂松石建雄彭伟峰刘辉程艳伟刘亮王海军
Owner 中国联合网络通信有限公司广东省分公司
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com