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Commodity recommendation method and device and computer readable storage medium

A product recommendation and product technology, applied in the computer field, can solve irreplaceable problems and achieve the effect of improving user experience and accuracy

Active Publication Date: 2018-11-23
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, online consumption can never replace offline consumption

Method used

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  • Commodity recommendation method and device and computer readable storage medium
  • Commodity recommendation method and device and computer readable storage medium
  • Commodity recommendation method and device and computer readable storage medium

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way intended as any limitation of the disclosure, its application or uses. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present disclosure.

[0046] This disclosure provides a commodity recommendation method, which can be used to recommend commodities to offline users. The following combines figure 1 to describe.

[0047] figure 1 A flowchart of some embodiments of the commodity recommendation method of the prese...

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PUM

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Abstract

The invention relates to a commodity recommendation method and device and a computer readable storage medium and relates to the field of computer technology. The method comprises the steps that according to face property analysis results of offline users, the properties of the offline users are determined; the properties and historical shopping information of online users are acquired; and commodities are recommended to the offline users according to property matching results of the offline users and the offline users and the historical shopping information of the online users. According to the method, face property analysis is performed on the offline users to determine the properties of the offline users; and by matching the properties of the online users and the offline users and calling the historical shopping information of the online users, the commodities are recommended to the offline users. Through the scheme, online data and offline data are connected, the online data and theoffline data are effectively combined, the accuracy of commodity recommendation can be improved, and user experience is improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a commodity recommendation method, device and computer-readable storage medium. Background technique [0002] Although with the continuous development of Internet technology, online consumption behavior is becoming more and more popular. However, online consumption can never replace offline consumption. People still pay attention to real offline experience when shopping, entertaining and socializing. [0003] At present, offline shopping still adopts the traditional model. For example, large shopping malls still mainly rely on shopping guides to recommend products for customers. Large electronic billboards still use the form of random play advertisements to attract customers' attention. Contents of the invention [0004] The inventor found that: the current offline traditional shopping mode cannot accurately recommend products to customers, which reduces the a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06V10/75
CPCG06Q30/0631G06Q30/0269G06F16/337G06V40/169G06V20/46G06V20/52G06V10/75G06F18/22G06F16/9535G06F16/9538G06V40/161G06V40/168G06V40/174G06V40/178
Inventor 石海林梅涛周伯文赵何龚书
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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