Model training method for determining order quantity, method and device for determining order quantity

A model training and order technology, applied in the computer field, can solve the problems of large consumption of computing resources and large workload of computing equipment, and achieve the effect of reducing consumption and accurate first reference order quantity

Active Publication Date: 2022-07-08
BEIJING QISHENG SCIENCE AND TECHNOLOGY CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, under normal circumstances, the process of determining the order quantity needs to consume a large amount of computing resources, which brings a large workload to the computing equipment.

Method used

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  • Model training method for determining order quantity, method and device for determining order quantity
  • Model training method for determining order quantity, method and device for determining order quantity
  • Model training method for determining order quantity, method and device for determining order quantity

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Embodiment Construction

[0058] In order to make the purposes, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only These are some, but not all, embodiments of the present disclosure. The components of the disclosed embodiments generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of the disclosure provided in the accompanying drawings is not intended to limit the scope of the disclosure as claimed, but is merely representative of selected embodiments of the disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the ar...

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PUM

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Abstract

The present disclosure provides a model training method, a demand determination method, and an apparatus, wherein the model training method includes: for each first historical time period in a plurality of first historical time periods, obtaining data obtained in the first historical time period The number of orders for each grid area pair in the internal model; input the order quantity of each grid area pair in the first historical period of the previous preset number into the original model to obtain the first reference order quantity; The order quantity of each grid area pair in a historical time period is input into the compression model, and the second reference order quantity is obtained; based on the first reference order quantity, the second reference order quantity and each grid area in the last first historical time period The compressed model is trained on the number of true orders. The embodiment of the present disclosure compresses the original model through knowledge distillation, and the obtained compressed model uses fewer parameters, which can reduce the consumption of computing resources in the process of determining the number of orders.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular, to a model training method, a demand determination method, and an apparatus. Background technique [0002] With the development of Internet technology, online booking travel service has gradually become an important choice for people to travel. Passengers can place travel orders online from the origin to the destination according to the travel plan. In order to better meet the travel needs of passengers, the number of orders between each origin and destination in the future can be determined based on the number of previous orders, and then the determined number of orders can be used to help dispatchers make more reasonable scheduling for each location. vehicle. [0003] But usually, the process of determining the order quantity needs to consume a lot of computing resources, which brings a large workload to the computing device. SUMMARY OF THE INVENTION [0004] ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q30/02G06Q50/30G06N20/00
CPCG06Q10/06315G06Q30/0202G06Q50/30G06N20/00
Inventor 曹绍升
Owner BEIJING QISHENG SCIENCE AND TECHNOLOGY CO LTD
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