Method for evaluating user behavior on the basis of position mining

A user and behavior technology, applied in data processing applications, instruments, resources, etc., can solve problems such as manual maintenance records, identifiable location restrictions, etc., to reduce deployment overhead and reduce illegal cheating.

Inactive Publication Date: 2016-06-15
成都小步创想慧联科技有限公司
View PDF3 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing traditional enterprises usually use attendance check-in to assess employees’ work performance outside the home. This method requires manual maintenance of records, and the use of fingerprint machines and other solutions requires additional hardware costs, and the places that can be identified are also limited.

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
  • Method for evaluating user behavior on the basis of position mining
  • Method for evaluating user behavior on the basis of position mining
  • Method for evaluating user behavior on the basis of position mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] A user behavior evaluation method based on location mining is characterized in that: using trajectory data to mine user behavior patterns, analyzing user behavior rules, and evaluating user behavior.

[0035] Described method specifically comprises the steps:

[0036] a. Obtain location information to obtain trajectory data, and preprocess the trajectory data;

[0037] b. Obtain the time distribution of users in different places in different time periods through trajectory data, and obtain the user's behavior pattern;

[0038] c. Utilize the historical records of user behavior patterns to update the user preference model, judge whether it is an abnormal behavior according to the user preference model, and calculate the user behavior score.

[0039] In the step a, the mobile device reports the track data as L={l 1 , l 2 ,...,l n}, where l i =(lat i ,long i ,time i ) represents the latitude and longitude and time. Firstly, the repeated points in the trajectory dat...

Embodiment 2

[0055] A user behavior evaluation method based on location mining is applied to the management of security personnel in property companies. Security personnel need to check enough time in some designated locations every day, and need to patrol a certain number of times a day. Through this behavior evaluation method, the security guard's working conditions can be evaluated through the final score. The method includes the following steps:

[0056] a. Obtain location information through mobile devices such as smart phones carried by security guards to obtain trajectory data, and preprocess the trajectory data;

[0057] b. Obtain the time distribution of security guards at different locations in different time periods through trajectory data, and obtain the behavior patterns of security guards;

[0058] c. Utilize the historical records of security behavior patterns to update the user preference model, judge whether it is an abnormal behavior according to the user preference mode...

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 method for evaluating user behavior on the basis of position mining. The method comprises following steps: a. obtaining position information to obtain tracking data and performing pretreatment to the tracking data; b. obtaining time distribution of a user at different places in different time through the tracking data to obtain a behavior pattern of the user; c. updating a user preference model by use of historical records of the user behavior pattern and determining whether a user behavior is an abnormal behavior according to the user preference model and calculating user behavior scores. By use of the method, the user behavior pattern is obtained from user original messy tracking data, daily behavior rules of the user can be revealed, and the possibility of cheat in traditional attendance checking is greatly reduced.

Description

technical field [0001] The invention relates to a user behavior evaluation method based on location mining, which belongs to the field of data mining. Background technique [0002] With the continuous development of the mobile Internet, mobile devices such as mobile phones have gradually become popular. At present, mobile devices such as mobile phones are equipped with GPS, or have a network positioning function, which is convenient for users to automatically record their daily itinerary. The distribution of the user's stay time in different places at different time periods every day reflects the user's behavior rules. [0003] Data mining technology based on user trajectory data is constantly developing. It is generally used in popular spot recommendation and other fields, and the application in the enterprise field is still relatively small. analyze. [0004] By mining user trajectory data, companies can easily evaluate employees' work behavior. This technology is not ...

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): G06Q10/06G06Q10/10
CPCG06Q10/0639G06Q10/105
Inventor 张国容
Owner 成都小步创想慧联科技有限公司
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