Order recommendation method and device, readable storage medium and electronic equipment

Abstract

The invention relates to an order recommendation method and device, a readable storage medium and electronic equipment, and the method comprises the steps: obtaining the historical order information of a user and the historical order information of other users in response to a received order matching instruction inputted by the user; determining a target user matched with the user according to the historical order information of the user and the historical order information of the other users; and recommending the historical order of the target user to the user. Thus, the purpose of recommending orders to the user in a targeted mode can be achieved, the online shopping process of the user is simplified, and then the order placing rate and the shopping experience of the user are improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular, to an order recommendation method, device, readable storage medium and electronic equipment. Background technique [0002] With the development of e-commerce platforms, more and more users tend to shop online. In order to make it easier for users to find products to be purchased among a large number of products, it is necessary for e-commerce platforms to recommend some products for users. Therefore, product recommendation is an important way for e-commerce platforms to sell products. In many e-commerce platforms, there will be some recommendation modules to recommend products for users. The products recommended by the e-commerce platform will affect the user's browsing and purchase situation. [0003] Under normal circumstances, it is a common method to recommend products to users through keyword search. With the help of the search function, users can browse the p...

AI Technical Summary

Problems solved by technology

However, users usually search for more commodities according to the keywords they input, and users still need to spend a long time to choose among the more commodities, and when using this method to recommend commodities for users, users need to Only when you have a clear understanding of the product you are going to buy can you enter accurate keywords

However, in practical applications, sometimes users do not have a clear understanding of the items to be purchased, so they cannot input precise keywords, resulting in the inability of the e-commerce platform to recommend the products they need for users.

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