An information push method, device, electronic device and storage medium

Abstract

The invention discloses an information push method, device, electronic device and storage medium. The method includes acquiring first industrialized behavior information of a target user, and determining common behavior information; constructing a behavior link based on the common behavior information, and determining behavior Undertake the procurement cycle corresponding to each third-industry-oriented behavior information in the chain; determine the target third-industry-oriented behavior information that has a behavioral relationship with the fourth-industry-oriented behavior information, and add the fourth-industry-oriented behavior information to the target third-industry-oriented behavior information The behavior continuation link corresponding to the behavior information, and update the procurement cycle corresponding to the fourth industry behavior information and the target third industry behavior information; determine the completion time of the last completed behavior of each monitoring behavior information in each behavior continuation chain, and generate the current push information. The present invention realizes the monitoring of the procurement cycle of each monitoring behavior information based on the industry link, satisfies the user's differentiated demand for commodities in different demand periods, and has a good push effect.

Description

technical field [0001] The present application relates to the technical field of information data processing, and in particular, to an information push method, apparatus, electronic device and storage medium. Background technique [0002] At present, in the field of information push, in order to push more accurate information to users, it is necessary to analyze the user's historical behavior, so as to determine the types of commodities that the user may be interested in, and push the push information corresponding to the commodity type to the users. However, users have different purchase demands for commodities in different periods, and the actual push effect of such a push method is poor. Especially for manufacturers in the physical processing and production industry, the raw materials, production machines, packaging items, transportation tools, etc. used in the production process may have purchase needs at different time points, and due to the large number of commodities ...

AI Technical Summary

Problems solved by technology

However, the user's commodity purchase needs in different periods are different, and the actual push effect of this push method is poor

Especially for manufacturers in the physical processing and production industry, the raw materials, production machines, packaging items, transportation tools, etc. used in the production process may have purchase needs at different time nodes, and due to the large number of commodities involved, users It is also unable to conduct continuous monitoring of all commodities used in the production process

If the push information cannot accurately and timely push out the products required by the user, not only the push information will not have the actual push effect, but it will also cause users to often encounter damage to the products that users really need to replenish, such as bottoming out of raw material inventory or old machinery and equipment. After waiting for the problem, we are eager to replenish the product, which affects the user's production efficiency

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