Shopping recommending method, user side, service side, equipment and storage medium

A recommendation method and client-end technology, applied in the server-side, shopping recommendation method, equipment and storage media, and client-side fields, can solve problems such as inaccurate prediction, achieve the effect of increasing purchase rate, improving accuracy, and optimizing user experience

Pending Publication Date: 2018-07-27
BOE TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] On the one hand, the current shopping recommendation solutions are usually only presented in online scenarios such as shopping pages, and only unified advertisements are placed offline. It is difficult to make reasonable personalized recommendations to users in offline scenarios such as supermarket shopping to improve

Method used

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  • Shopping recommending method, user side, service side, equipment and storage medium
  • Shopping recommending method, user side, service side, equipment and storage medium
  • Shopping recommending method, user side, service side, equipment and storage medium

Examples

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Embodiment Construction

[0044] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0045] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0046] figure 1 It is a schematic diagram of an application scenario of an embodiment of the present invention.

[0047] like figure 1 As shown, in this embodiment, the client terminal 10 provided by the present invention is configured on a shopping cart 30 , and the client terminal 10 is connec...

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PUM

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Abstract

The invention provides a shopping recommending method, a user side, a service side, equipment and a storage medium. The method comprises the steps of obtaining voice information of a user and conducting voice recognition and keyword extraction on the voice information to obtain shopping keyword information; sending the shopping keyword information to the service side for the service side to conduct interest prediction according to the shopping keyword information and shopping relevant information of the user to generate recommending information; receiving the recommending information, and according to the recommending information, providing data for a display unit to show the shopping recommending content. By acquiring the voice information of the user in an off-line supermarket shopping scene and extracting a keyword from the voice information for the service side to conduct interest prediction in combination with other shopping relevant information, the shopping recommending contentis finally shown through the display unit, and precise user-friendly recommending for the user in the supermarket shopping scene is achieved.

Description

technical field [0001] The present application relates to the technical field of shopping in supermarkets, in particular to a shopping recommendation method, a client, a server, a device and a storage medium. Background technique [0002] On the one hand, the current shopping recommendation solutions are usually only presented in online scenarios such as shopping pages, and only unified advertisements are placed offline. It is difficult to make reasonable personalized recommendations to users in offline scenarios such as supermarket shopping to improve business The purchase rate of super shopping; on the other hand, it usually only focuses on predicting and recommending based on the user's personal information, shopping history, chat records of instant messaging tools, etc., and cannot accurately understand the needs of the user's current offline shopping scene. predict. Contents of the invention [0003] In view of the above-mentioned defects or deficiencies in the prior...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G10L15/08
CPCG06Q30/0631G10L15/08G10L2015/088G10L15/26G10L15/22G10L2015/228G06N3/08G06N5/022G10L15/16G10L15/30G10L2015/223
Inventor 刘向阳兰春娥刘童张治国饶晖
Owner BOE TECH GRP CO LTD
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