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Order answering willingness evaluation method and device for drivers in online taxi service platform

A service platform and driver technology, applied in the Internet field, can solve problems such as huge differences in willingness to accept orders, inaccurate evaluation results, and low order acceptance rate in non-hot areas, and achieve the effect of improving accuracy

Active Publication Date: 2017-03-22
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the existing technology, the driver’s willingness to accept orders is mainly evaluated through some simple indicators, such as the ratio of pushing orders and accepting orders, the length of the driver’s online time, the amount of orders received, etc. The evaluation results are very inaccurate
[0006] For example, drivers with a similar ratio of accepting orders to push orders may have huge differences in their willingness to accept orders. For example, some drivers tend to accept orders near large transportation hubs, and the order acceptance rate is high, but the order acceptance rate in non-hot areas is very low. In this way, if the driver’s willingness to accept orders is simply evaluated by the ratio of accepting orders and pushing orders, there will be a large deviation

Method used

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  • Order answering willingness evaluation method and device for drivers in online taxi service platform
  • Order answering willingness evaluation method and device for drivers in online taxi service platform

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Embodiment 1

[0029] figure 1 It is a flow chart of an embodiment of the method for evaluating the driver's willingness to accept orders in the online car-calling service platform of the present invention, as figure 1 As shown, including the following specific implementation methods:

[0030] In step 11, obtain training samples, each training sample includes: order information, driver status information and information on whether the driver accepts the order;

[0031] In 12, the decision tree model is obtained according to the training sample training;

[0032] In 13, according to the decision tree model, the order information and driver status information in each training sample are converted into attribute vectors respectively, and the converted training samples are obtained;

[0033] In 14, according to the converted training sample training, the driver's order probability prediction model is obtained;

[0034] In step 15, the driver's willingness to take orders is determined accordin...

Embodiment 2

[0092] figure 2 It is a schematic diagram of the composition and structure of an embodiment of the device for evaluating the driver's willingness to accept orders in the online car-calling service platform of the present invention, as shown in figure 2 As shown, it includes: a sample acquisition unit 21 , a first training unit 22 , a sample conversion unit 23 , a second training unit 24 and an evaluation unit 25 .

[0093] The sample obtaining unit 21 is used to obtain training samples and send them to the first training unit 22, each training sample includes: order information, driver status information and information on whether the driver accepts the order or not.

[0094] The first training unit 22 is configured to train the decision tree model according to the training samples, and send the decision tree model and the training samples to the sample conversion unit 23 .

[0095] The sample conversion unit 23 is used to convert the order information and the driver status...

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Abstract

The present invention discloses an order answering willingness evaluation method and a device for drivers in an online taxi service platform. The method comprises the steps of obtaining training samples, wherein each training sample comprises the order information, the driver state information and the information of whether a driver answers an order or not; obtaining a decision tree model through the training of training samples; according to the decision tree model, converting the order information and the driver state information of each of the training samples into attribute vectors so as to obtain converted training samples; according to the converted training samples, training to obtain a driver order-answering probability prediction model; according to the driver order-answering probability prediction model, determining the order-answering willingness of a driver. According to the technical scheme of the invention, the accuracy of evaluation results is improved.

Description

[0001] 【Technical field】 [0002] The invention relates to Internet technology, in particular to a method and device for evaluating a driver's willingness to accept an order in an online car-calling service platform. [0003] 【Background technique】 [0004] In the online car-hailing service platform, the willingness of different drivers to accept orders varies greatly. Online car-hailing service providers tend to use various means to retain drivers with high willingness to take orders. At the same time, in the process of dispatching orders, it is necessary to dispatch orders to drivers with high willingness to accept orders as much as possible, so as to promote the success of car calling. Therefore, how to evaluate the driver's willingness to accept orders is of great significance to online car-hailing services. [0005] In the existing technology, the driver's willingness to accept orders is mainly evaluated through some simple indicators, such as the ratio of pushing orders...

Claims

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Application Information

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IPC IPC(8): G06Q50/30
CPCG06Q50/40
Inventor 王超
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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