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Commodity recommendation method and device

A product recommendation and target user technology, applied in the field of product recommendation methods and devices, can solve problems such as lack of flexibility and insufficient user group analysis.

Active Publication Date: 2019-09-17
CHINA UNITED NETWORK COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method lacks flexibility and the analysis of user groups is not comprehensive enough

Method used

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  • Commodity recommendation method and device
  • Commodity recommendation method and device
  • Commodity recommendation method and device

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Embodiment Construction

[0022] The product recommendation method and device provided in the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0023] In the description of the present application, unless otherwise specified, " / " means "or", for example, A / B may mean A or B. The "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B, which can mean: A exists alone, A and B exist at the same time, and B exists alone These three situations. In addition, "at least one" means one or more, and "plurality" means two or more.

[0024] In addition, the terms "including" and "having" mentioned in the description of the present application and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the lis...

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Abstract

The invention provides a commodity recommendation method and device, which relates to the technical field of communication, and can combine the online application preference with the offline storefront product selection so as to achieve the purpose of online guidance and offline. The method comprises the steps of obtaining a target user list of a target store and the user data corresponding to the target users in the target user list; constructing a multi-dimensional user tag matrix of the target user according to the user data, the dimension of the multi-dimensional user tag matrix being used for representing one kind of user data, the multi-dimensional user tag matrix comprising a plurality of blocks, the blocks being formed by dividing the user data of different dimensions; determining a standard score of a preference application for all target users in a pre-selected block, wherein the pre-selected block is obtained by screening from the plurality of blocks in the multi-dimensional user tag matrix according to a preset screening item; and according to a preset commodity mapping library and the standard score, providing the shelving recommendation of the commodity category for the target store.

Description

technical field [0001] The present application relates to the field of communication technology, and in particular to a product recommendation method and device. Background technique [0002] With the continuous development of e-commerce, online shopping accounts for a large proportion of people's daily consumption, so offline physical stores are gradually declining. How to promote offline commodity sales, give full play to its maximum value outside of the main business, and realize The sale of more categories of goods has become an urgent problem to be solved. The current conventional practice is to cluster users by tags, and after clustering, divide the user groups into several categories and conduct analysis and marketing for different groups. However, this method lacks flexibility, and the analysis of user groups is not comprehensive enough. Contents of the invention [0003] The present application provides a product recommendation method and device, which can combi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0255G06Q30/0631
Inventor 宋春涛张帆程新洲
Owner CHINA UNITED NETWORK COMM GRP CO LTD
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