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Method and device for predicating user loss of car calling platform

A user loss and user technology, applied in forecasting, data processing applications, instruments, etc., to achieve the effect of improving success rate and reducing maintenance cost

Inactive Publication Date: 2015-04-08
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the driver has not been used for a long time, it may have used competitor software, etc., it is difficult to recover

Method used

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  • Method and device for predicating user loss of car calling platform
  • Method and device for predicating user loss of car calling platform
  • Method and device for predicating user loss of car calling platform

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Embodiment Construction

[0028] The principle and spirit of the present invention will be described below with reference to several exemplary embodiments shown in the accompanying drawings. It should be understood that these embodiments are described only to enable those skilled in the art to better understand and implement the present invention, but not to limit the scope of the present invention in any way.

[0029] refer to figure 1 , figure 1 A flow chart of a method 100 for predicting user churn of a ride-hailing platform according to an embodiment of the present invention is shown. The prediction problem to be solved by the method 100 according to an embodiment of the present invention is to predict whether the user will continue to use the car-calling platform in the future based on the known usage data of the car-calling platform about the user's use of the car-calling platform. Each step of the method 100 is introduced in detail below.

[0030] The method 100 starts at step 101. In step 10...

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PUM

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Abstract

The embodiment of the invention provides a method for predicating user loss of a car calling platform. The method comprises the following steps: obtaining an input variable of a reserved predication model based on a behavior variable of a user; determining a variable for judging whether a user is lost or not as an output variable of the predication model; taking the input variable and the output variable as historical data and training the predication model; predicating whether the user is lost or not based on the trained predication model. The embodiment of the invention further provides a device for predicating whether the user of the car calling platform is lost or not. With the adoption of the method and the device provided by the embodiment of the invention, a lost user list can be given some time ahead when whether the user is lost or not is predicated, the high accuracy and the high coverage rate are guaranteed, and the maintaining difficulty is reduced; a target user group is narrowed and the maintaining activity cost is reduced.

Description

technical field [0001] Embodiments of the present disclosure generally relate to a prediction method and device, and more particularly, relate to a method and device for predicting user churn of a car-hailing platform. Background technique [0002] With the rapid development of the mobile Internet, most drivers are accustomed to using software to receive orders, and passengers are accustomed to using software to place orders. Take the popular taxi-hailing platform application software used on mobile terminals as an example. Passengers open the software and request a taxi, and the message is pushed to the server of the taxi-hailing platform. The server of the taxi-hailing platform uses big data online analysis to accurately push the order to nearby drivers. In this way, it is beneficial to reduce the driver's empty driving and increase the driver's income. However, drivers may be lost due to reasons such as unfamiliarity with software operation methods, inaccurate software ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/40
Inventor 陈国宝
Owner BEIJING DIDI INFINITY TECH & DEV
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