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

An e-commerce platform and product recommendation technology, applied in the field of Internet, can solve the problems of low new products, low efficiency, and low recommendation accuracy, and achieve the effects of improving accuracy, searching accuracy, and increasing density.

Inactive Publication Date: 2015-03-25
BEIJING INSTITUTE OF PETROCHEMICAL TECHNOLOGY
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  • Application Information

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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 o

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

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Embodiment Construction

[0033] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0034] figure 1 It is a flow chart of a collaborative filtering-based product recommendation method according to an exemplary embodiment 1, which is applied on a server, wherein the server is used to collect statistics on the user's shopping history on the e-commerce platform, and through the e-commerce platform to provide users with offer goods such as figure 1 As shown, the method for adjust...

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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...

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 张宁张岩范崇睿
Owner BEIJING INSTITUTE OF PETROCHEMICAL TECHNOLOGY
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