Position prediction method and device
A prediction method and prediction model technology, applied in the field of machine learning, can solve the problems of poor timeliness of positioning and location methods, unfavorable resource allocation, etc.
Inactive Publication Date: 2020-07-28
BEIJING DIDI INFINITY TECH & DEV
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[0003] At present, when determining the user's location, the user's positioning location information can be obtained in real time, but the method of obtaining the positioning location in real time is poor in timeliness, which is not conducive to resource allocation in advance and configuration of related service policies
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[0117] 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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Embodiments of the invention provide a position prediction method and device. The method comprises: obtaining order information of multiple orders of a to-be-predicted user in a preset historical timeperiod; 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 orderfeature vectors corresponding to the orders respectively; according to the to-be-predicted time information and the to-be-predicted position information of the to-be-predicted user, constructing a target feature vector used for representing the to-be-predicted time and the to-be-predicted position of the to-be-predicted user; and inputting the order feature vector sequence and the target featurevector into a pre-trained position prediction model to obtain a position prediction result of the to-be-predicted user in a future preset time period. According to the embodiment of the invention, theposition of the to-be-predicted user in the future preset time period can be determined with higher accuracy, so that the position information of the user can be predicted in advance, and resource allocation in advance and configuration of related service strategies are facilitated.
Description
technical field [0001] The present application relates to the technical field of machine learning, in particular, to a position prediction method and device. Background technique [0002] By obtaining user location information, it can match personalized services, incentive strategies, and capacity allocation strategies related to user locations for users. For example, by predicting the city where the user will be located the next day, you can find users who are traveling or traveling in different places, and carry out differentiated operations to improve user experience. [0003] At present, when determining the user's location, the user's positioning location information can be obtained in real time, but the method of obtaining the positioning location in real time is poor in timeliness, which is not conducive to resource allocation in advance and configuration of related service policies. Contents of the invention [0004] In view of this, the purpose of the embodiments...
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IPC IPC(8): G06Q10/04G06Q30/06
CPCG06Q10/04G06Q30/0635
Inventor 谢君卓呈祥
Owner BEIJING DIDI INFINITY TECH & DEV