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

Abstract

The invention relates to an intelligent recommendation technology, and discloses a product recommendation method, which comprises the steps of determining a first feature of each user, and grouping the users based on the first features to obtain a plurality of user groups; calculating a product permeability array corresponding to each user group in the plurality of user groups; determining a target user group corresponding to the to-be-recommended user; obtaining a second feature factor corresponding to the product recommendation request, determining a second feature of the to-be-recommended user based on the second feature factor and the second historical data, and inputting the second feature into the attribute analysis model to obtain a target attribute value of the to-be-recommended user; and when the target attribute value is smaller than a preset threshold, recommending a target product to the to-be-recommended user based on the product permeability array corresponding to the target user group. The invention further provides a product recommendation device, electronic equipment and a readable storage medium. The product recommendation success rate is improved.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a product recommendation method, device, electronic equipment and readable storage medium. Background technique [0002] With the development of science and technology, product recommendation is more and more widely used in people's life, such as article push, product information recommendation, etc. At present, it is usually based on the user's own relevant information, such as historical browsing information and purchase information. The recommendation success rate is not high. Therefore, there is an urgent need for a product recommendation method to improve the success rate of recommendation. Contents of the invention [0003] In view of the above, it is necessary to provide a product recommendation method aimed at improving the success rate of recommendation. [0004] The product recommendation method provided by the present invention includes: [0005] Acquiring the first h...

AI Technical Summary

Problems solved by technology

[0002] With the development of science and technology, product recommendation is more and more widely used in people's life, such as article push, product information recommendation, etc. At present, it is usually based on the user's own relevant information, such as historical browsing information and purchase information. Make the recommendation success rate not high

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