Cross-commodity-category commodity recommendation method and device

Abstract

The invention provides a cross-commodity-category commodity recommendation method and device, and relates to the technical field of information push, and the method comprises the steps: obtaining a first purchase list of a first user, wherein the first purchase list has a first commodity and a second commodity, and the first commodity and the second commodity are in different commodity categories;obtaining a second purchase list of a second user; obtaining a first label of a first user; obtaining a second label of a second user; when the first label and the second label have a first association relationship, obtaining a first recommendation combination; obtaining a third purchase list of a third user, wherein the third purchase list contains the first commodity; obtaining a third label ofthe third user; and when the third label and the first label have a first association relationship, or when the third label and the second label have a first association relationship, recommending the second commodity in the first recommendation combination to the third user, thereby improving a commodity recommendation effect.

Description

technical field [0001] The present invention relates to the technical field of information push, in particular to a product recommendation method and device across product categories. Background technique [0002] With the advent of the Internet age, people's living habits and shopping habits have also changed. Similarly, the promotional models of major companies have also changed. For example, online shopping has become a way of consumption for most users. Users can retrieve commodity information through the Internet and send shopping requests through electronic order forms. Manufacturers deliver goods by mail order or through express companies. Users can purchase desired items. At present, when enterprises recommend products, they mainly make corresponding recommendations based on the products that users have purchased or browsed. In this way, interested users choose to open or read next time, while uninterested users choose to directly Turn it off, or block the message ...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a product recommendation method and device across product categories, which solves the problem that the product recommendation method in the prior art tends to cause poor user experience and cannot stimulate the user's desire to purchase, resulting in the effect of product recommendation Unsatisfactory, the technical problem that it is difficult to increase the purchase rate of recommended products has achieved intelligent recommendation of corresponding products, realizing product recommendation across product categories, greatly providing convenience for users, increasing the purchase rate of recommended products, and improving product recommendation technical effect

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