Product recommendation method and device based on combined model and computer equipment

Abstract

The embodiment of the invention relates to the technical field of data analysis, and provides a product recommendation method based on a combined model, which comprises the following steps: obtainingpurchase behavior related data of a plurality of customers, and preprocessing the purchase behavior related data to construct a first recommendation model; obtaining preference research data of a plurality of clients, and constructing a second recommendation model; determining matching degrees of the plurality of products and the plurality of clients based on a preset analysis rule, and generatinga matching degree analysis result to construct a third recommendation model; obtaining customer feature data of a plurality of customers and product feature data of a plurality of products, and analyzing the customer feature data and the product feature data to generate a feature matrix of customer products so as to construct a fourth recommendation model; and calculating a recommendation score of the to-be-recommended product relative to each to-be-recommended customer by utilizing the first to fourth recommendation models, and calculating a total recommendation score according to the four model recommendation scores so as to formulate a product recommendation scheme for each to-be-recommended customer based on the total recommendation score. The embodiment of the invention can improve the recommendation effect.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data analysis, and in particular to a product recommendation method, device and computer equipment based on a combined model. Background technique [0002] With the rapid development of modern computer technology, information technology and big data technology, modern people have entered the era of massive information. It is becoming more and more difficult for people to find their information and interests in massive amounts of data. For information retrieval with clear requirements, users can use different search engines to meet the needs of information discovery. If the user is not clear about their needs, a recommendation engine is needed to understand and discover the real needs of the users from the user's point of view, and based on the real needs of the users, feed back the information they need. With the emergence of recommendation engines, the way for users to obtain ...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the embodiment of the present invention is to provide a product recommendation method, device, computer equipment and computer-readable storage medium based on a combined model, which is used to overcome the existing inability to provide high-quality personalized products that meet different user needs. The recommendation service and the inability to recommend new products

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