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Service demand determination method and device

A technology for business requirements and determination methods, applied in the field of machine learning, can solve problems such as unreasonable resource allocation

Pending Publication Date: 2020-06-16
BEIJING DIDI INFINITY TECH & DEV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the purpose of the embodiments of the present application is to provide a business demand determination method and device, which can determine the business demand forecast results of the users to be predicted in the future preset time period with higher accuracy, and solve the problem based on the forecast results. Unreasonable resource allocation during resource allocation

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  • Service demand determination method and device
  • Service demand determination method and device

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Embodiment Construction

[0157] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the appended The figures are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that have no logical context may be performed in reverse order or concurrently. In addition, those skilled in the art may add one or more other operations t...

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Abstract

The application provides a business demand determination method and device, and the method comprises the steps: obtaining the order information of a plurality of orders of a to-be-predicted user in apreset historical time period; according to the order information of the multiple orders, constructing an order feature vector sequence of the to-be-predicted user, wherein the order feature vector sequence comprises order feature vectors corresponding to the orders respectively; and based on the order feature vector sequence and a pre-trained service demand prediction model, determining a servicedemand prediction result of the to-be-predicted user in a future preset time period. According to the embodiment of the invention, the service demand prediction result of the to-be-predicted user inthe future preset time period can be determined with higher accuracy, and the problem of unreasonable resource allocation during resource allocation based on the prediction result is solved.

Description

technical field [0001] The present application relates to the technical field of machine learning, in particular, to a method and device for determining business requirements. Background technique [0002] Silent users refer to users who have generated historical behavior data for a certain service in a certain period of time, but have not generated historical behavior data for the service in another period of time after that period, for example, users who have Users who have booked a car on the online car-hailing platform but have not booked a car on the online car-hailing platform within the last month are silent users of the online car-hailing platform. [0003] Because these users are not regular car users, they usually do not consider the needs of these users when configuring resources. When these users suddenly need a car, there will be insufficient resource allocation, and they cannot provide services to users in time, resulting in The problem of poor user experience...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06K9/62G06N3/04
CPCG06Q30/0202G06Q30/0201G06N3/045G06F18/214
Inventor 薄琳
Owner BEIJING DIDI INFINITY TECH & DEV
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