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Method for pre-estimating order-canceling behavior of customer, equipment and storage medium

A technology of orders and passengers, applied in the Internet field, can solve the problems of low success rate of online car-hailing service, failure to consider factors affecting passengers, etc., and achieve the effect of improving the success rate

Active Publication Date: 2017-09-05
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, only the distance between the driver and the user is used to judge whether the driver meets the requirements of the delivery order, without considering the influencing factors of passengers, resulting in a low success rate of online car-hailing services

Method used

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  • Method for pre-estimating order-canceling behavior of customer, equipment and storage medium
  • Method for pre-estimating order-canceling behavior of customer, equipment and storage medium
  • Method for pre-estimating order-canceling behavior of customer, equipment and storage medium

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Embodiment 1

[0030] figure 1 It is a flow chart of a method for estimating passenger cancellation order behavior provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of estimating passenger cancellation order behavior. The device for order behavior can be implemented by means of software and / or hardware, and the device can be integrated in the terminal device or in the application end of the terminal device. Wherein, the terminal device may be, but not limited to, a mobile terminal (tablet computer or smart phone), or a fixed terminal (desktop computer or notebook).

[0031] Wherein, the application side can be a plug-in of a certain client embedded in the terminal device, or a plug-in of the operating system of the terminal device, and a client or terminal embedded in the terminal device that estimates passenger cancellation behavior. The estimated passenger cancellation order behavior application program in the operating system of the device ...

Embodiment 2

[0045] figure 2 It is a flow chart of a method for estimating a passenger's order cancellation behavior provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, the step of estimating whether the passenger will cancel the order for the candidate driver according to the attribute vector is optimized as inputting the attribute vector Carry out learning in the passenger's order cancellation behavior recognizer; determine whether the passenger cancels the order according to the probability that the passenger cancels the order for the candidate driver output by the passenger's order cancellation behavior recognizer.

[0046] Correspondingly, the method in this embodiment specifically includes:

[0047] S201. Obtain historical behavior information of the corresponding passenger according to the passenger account number of the order generated by the online car-calling service, and obtain ord...

Embodiment 3

[0063] image 3 It is a flow chart of a method for estimating a passenger's order cancellation behavior provided by Embodiment 3 of the present invention. This embodiment is optimized on the basis of the above embodiments. In this embodiment, the steps are to assign values ​​to the attribute items contained in the order information, the historical behavior information, and the driver information respectively, and the generated attribute vector is optimized as : Using a Random Forest algorithm or an iterative decision tree GBDT to assign values ​​to the attribute items contained in the order information, the historical behavior information, and the driver information respectively, and generate attribute vectors.

[0064] Correspondingly, the method in this embodiment specifically includes:

[0065] S301. Obtain historical behavior information of the corresponding passenger according to the passenger account number of the order generated by the online car-calling service, and o...

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Abstract

The embodiment of the invention discloses a method for pre-estimating the order-canceling behavior of customer, equipment and a storage medium. The method comprises the steps: obtaining the historical behavior information of a corresponding customer according to a passenger account of an order generated according to an online taxi-hailing service, and obtaining the order information of the order, wherein the order information comprises a riding start point; taking a driver who is located in a preset region of the riding start point as a candidate driver, and obtaining the information of the candidate driver; carrying out the assignment for the attribute items in the order information, historical behavior information and the driver information, and generating an attribute vector; and pre-estimating whether a passenger will cancel the order for the candidate driver or not according to the attribute vector. According to the invention, during the pre-estimation whether the passenger will cancel the order for the candidate driver or not according to the attribute vector, the method gives consideration to the historical behavior information of the passenger, the order information and driver information, achieves the quantification processing of the information, and can improve the success rate of the taxi-hailing service.

Description

technical field [0001] The embodiment of the present invention relates to the field of Internet technologies, and in particular to a method, device and storage medium for predicting passenger cancellation behavior. Background technique [0002] With the high development of Internet technology and the popularization of smart devices, traditional transportation technology is gradually evolving into an intelligent transportation system. In the prior art, passengers often use online taxi-hailing service software (such as Didi, Uber, Shenzhou, Yidao, etc.) to hail taxis through smart terminals such as mobile phones, so that the interaction between people, cars, and roads can be improved in a new way. Compared with the traditional way of hailing a taxi, it achieves more accurate and efficient travel to a certain extent. [0003] In online car-hailing services (such as special car, ride-hailing car, express car, etc.), a large number of factors will cause passengers to cancel the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q10/02G06Q30/06
CPCG06Q10/02G06Q30/0635G06F18/2411
Inventor 王超
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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