Item information push method, device, electronic device, and computer-readable medium

Abstract

The embodiment of the present disclosure discloses an item information pushing method, device, electronic equipment and computer readable medium. A specific implementation of the method includes: acquiring item order information of each user in the user group to obtain an item order information set; selecting address information that matches the target address information from each address information included in the item order information set as a backup Select the address information to obtain the alternative address information group; determine the item name group corresponding to each alternative address information in the alternative address information group as the alternative item name group, and obtain the alternative item name group set; based on the alternative item The name set and the turnover of each item corresponding to the candidate item name set generate a set of item names to be recommended; based on the set of item names to be recommended, a set of recommended item information corresponding to the set of item names to be recommended is obtained. This embodiment solves the problem that the items sold cannot meet the shopping needs of surrounding users, and improves the user flow of offline delivery stores.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and specifically relate to a method, device, electronic device, and computer-readable medium for pushing item information. Background technique [0002] With the rapid development of online shopping platforms, people's shopping methods have undergone tremendous changes, and offline distribution stores have been strongly impacted by e-commerce Internet. At present, the purchase method of offline distribution stores is usually based on the items with higher sales volume on the online shopping platform. [0003] However, when the above method is adopted, the following technical problems usually exist: [0004] First, the items sold cannot meet the shopping needs of surrounding users, resulting in the loss of user traffic in offline distribution stores; [0005] Second, the degree of correlation between the items actually needed by the user and the high-selling items, a...

AI Technical Summary

Problems solved by technology

[0004] First, the items sold cannot meet the shopping needs of surrounding users, resulting in the loss of user traffic in offline distribution stores;

[0005] Second, the degree of correlation between the items actually needed by the user and the high-selling items, as well as the degree of correlation between the items actually needed by the user and the items in the offline delivery store, was not considered comprehensively, resulting in the inaccuracy of the items recommended to the store. High, further causing the items sold in offline distribution stores to fail to meet the shopping needs of surrounding users, further causing the loss of user traffic

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