Commodity recommendation method and device based on electronic business platform and server

Abstract

The invention relates to a commodity recommendation method and device based on an electronic business platform and a server. The commodity recommendation method and device based on the electronic business platform and the server are used for improving the accuracy of individual commodity recommendation. The method comprises the steps that adhesive user groups are screened; user interestingness is acquired; a neighbor set closest to a target user is generated; a commodity recommendation list is generated. According to the technical scheme, the obtained adhesive user groups can be more accurate and efficient; due to the fact that only the interestingness of each user in the adhesive user groups is recorded in an obtained scoring matrix, an evaluation matrix can be filled, and the density of the scoring matrix is improved; the closest neighbor set between the target user and the other users in the adhesive user groups is calculated through the scoring matrix, the similar neighbors of the target user can be searched for more accurately, and then the accuracy of recommending commodities to the target user is improved.

Description

technical field [0001] The present invention relates to the technical field of Internet, in particular to a commodity recommendation method, device and server based on an e-commerce platform. Background technique [0002] With the rapid development of Internet technology, e-commerce has been widely concerned by people because of its advantages of convenience and speed. However, with the increase in the number of commodity resources, it is difficult for customers to find satisfactory commodities conveniently and quickly in a relatively short period of time in online shopping. In order to help customers quickly find the products they need and at the same time bring higher profits to the e-commerce platform, personalized service has gradually become a key issue facing the development of the industry. As one of the most effective tools to solve the problem of information overload, data Mining technology emerges as the times require, and personalized recommendation technology is...

AI Technical Summary

Problems solved by technology

This intelligent platform, which is dedicated to helping e-commerce websites provide customers with fully personalized shopping services, brings convenience and speed to customers, and also brings huge benefits to e-commerce platforms. However, with the refinement of product information and With the improvement of customers' requirements for recommended content, the deficiencies of common recommendation technologies in existing technologies are becoming more and more obvious, such as low recommendation accuracy, low efficiency, new products or products with low purchase rate cannot be recommended to customers in time, etc.

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