Information pushing method based on logistics tracing data

Abstract

The invention provides an information pushing method based on logistics traceability data. An extreme value threading method is adopted for formulating a predetermined distribution path of an unmanned aerial vehicle, and the problem on how to formulate a complex predetermined distribution path can be solved by using a simple mathematical model. When information is pushed to a purchaser, two sections of pushing mechanisms with different strategies are used. In the first section, first priority information and second priority information associated with the first priority information are extracted from real logistics tracing data, and in the second section, a recommendation strategy is jointly generated according to reaction data of a purchaser and the content of the first-stage information. According to the method, the information in which the purchaser is interested is recommended by utilizing the logistics tracing data as much as possible, the pushing accuracy is greatly improved, and the reaction data of the purchaser is the reaction made based on the internal trust, so that the reaction data can better represent the internal real thought of the purchaser.

Description

technical field [0001] The invention relates to the field of logistics and information technology, in particular to an information push method based on a trust mechanism of logistics traceability information. Background technique [0002] The goal of information marketing is to improve retailers' understanding of user needs and provide targeted information to promote sales. At present, some information marketing strategies introduce machine learning methods. By collecting a large amount of user behavior data under different marketing strategies, supervised learning methods are used to train models, so that the models can imitate experts to formulate and design strategies. [0003] But an objective problem is that when users use online purchases, they lack trust in information content. Therefore, based on a series of distrust, they will make unintentional operations, such as quickly skimming the original interest because of distrust. or out of distrust and curiosity for a lo...

AI Technical Summary

Problems solved by technology

[0008] 2) Select the unmanned aerial vehicle in the delivery area to perform the delivery task, and generate the scheduled delivery route of the unmanned aerial vehicle; the unmanned aerial vehicle is different from the traditional land transportation in path planning, and it cannot be planned according to the road traffic data. The extremum threading method is adopted in the formulation of the scheduled delivery route of the UAV, which can solve the complex problem of formulating the scheduled delivery route with a simple mathematical model, which greatly reduces the calculation pressure of the deployment center

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