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Method, device and storage medium for predicting passenger cancellation behavior

A technology of orders and passengers, applied in the Internet field, can solve the problems of low success rate of online car-hailing services, and does not consider the factors affecting passengers, so as to achieve the effect of improving the success rate

Active Publication Date: 2021-10-26
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, device and storage medium for predicting passenger cancellation behavior
  • Method, device and storage medium for predicting passenger cancellation behavior
  • Method, device and storage medium for predicting passenger cancellation behavior

Examples

Experimental program
Comparison scheme
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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, device and storage medium for estimating passenger cancellation behavior. The method includes: according to the passenger account number of the order generated by the online car-calling service, obtaining the historical behavior information of the corresponding passenger, and obtaining the order information of the order, the order information includes the starting point of the ride; Drivers within the preset area of ​​the starting point are used as candidate drivers, and the driver information of the candidate drivers is obtained; respectively assign values ​​to the attribute items contained in the order information, the historical behavior information, and the driver information, and generate attribute vectors ; Estimating whether the passenger will cancel the order for the candidate driver according to the attribute vector. In the embodiment of the present invention, when estimating whether a passenger will cancel an order for a candidate driver, the passenger's historical behavior information, order information and driver information are taken into account, and the above information is quantified, which can improve the success rate of online car-hailing services.

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 Patents(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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