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Product recommendation method and device

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

Active Publication Date: 2021-11-19
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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  • Product recommendation method and device
  • Product 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 present application provides a product recommendation method and device, which relate to the field of communication technology, and can combine online application preferences with offline store selection, so as to achieve the purpose of online guidance and offline. The method includes: obtaining a target user list of a target store and user data corresponding to target users in the target user list; constructing a multi-dimensional user label matrix of the target user according to the user data, and the multi-dimensional user label matrix of the multi-dimensional user label matrix The dimension is used to represent a kind of user data, and the multi-dimensional user label matrix includes a plurality of blocks, and the blocks are formed by dividing user data of different dimensions; for all target users in the pre-selected block, the standard score of the preference application is determined, The pre-selected block is obtained by screening from the multiple blocks in the multi-dimensional user label matrix according to the preset screening items; according to the preset commodity mapping library and the standard score, it is provided to the target store Listing recommendations for product categories.

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 Patents(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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