Take-out delivery time prediction method and device

Abstract

An embodiment of the invention provides a take-out delivery time prediction method and a take-out delivery time prediction device. The take-out delivery time prediction method comprises the steps of:acquiring order information of a take-out order, and determining historical influencing factors and current influencing factors corresponding to the take-out order according to the order information,wherein the historical influencing factors are determined based on historical take-out delivery data; and determining delivery duration of the take-out order according to the historical influencing factors and the current influencing factors of the take-out order and a nonlinear prediction model. Since the historical influencing factors and the current influencing factors influencing the take-outdelivery duration are fully considered when predicting the delivery duration of the take-out order, the take-out delivery duration can be predicted more comprehensively. Since a gradient boosting treemodel and a random forest model are combined to construct the nonlinear prediction model used for predicting delivery duration, the influence of nonlinear influencing factors on the take-out deliveryduration are fully considered, thus the nonlinear prediction model has better fitting effect, better robustness and better delivery duration prediction effect when compared with the traditional linear regression model.

Description

technical field [0001] Embodiments of the present invention relate to the field of instant delivery, and in particular, to a method and device for predicting delivery time of food delivery. Background technique [0002] In the food delivery industry, real-time logistics delivery is one of the most important business scenarios. With the vigorous development of the real-time delivery field, how to improve the service quality of users and the delivery efficiency of riders is an increasingly serious problem. From the user's point of view, after placing an order, the user hopes that the platform will give an as accurate as possible delivery time, through which they can predict when their food delivery will be delivered, so as not to wait on the phone from the moment the order is placed For takeaway delivery, you only need to wait for the takeaway delivery before and after the scheduled delivery time, so as to reasonably arrange your other activity time, so as to greatly improve t...

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a method and device for predicting takeaway delivery time, which are used to solve the problem of low accuracy in predicting takeaway delivery time using a linear regression model

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