Household commodity recommendation method, client and server

A client and product technology, applied in the Internet field, can solve the problems of high cost, reduce home shopping experience, and cumbersome shopping process, and achieve the effect of simple shopping process, improving home shopping experience, and reducing home shopping cost

Active Publication Date: 2020-02-21
ALIBABA (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this way of shopping for home furnishing products requires offline manual services to purchase suitable home furnishing products online. The purchasing process is cumbersome and the cost is high, which reduces the user's home shopping experience.

Method used

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  • Household commodity recommendation method, client and server
  • Household commodity recommendation method, client and server
  • Household commodity recommendation method, client and server

Examples

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Embodiment Construction

[0015] In order to enable those skilled in the art to better understand the technical solutions in this application, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the drawings in the embodiments of this application. Obviously, the described The embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the implementation in this application, all other implementations obtained by a person of ordinary skill in the art without creative work shall fall within the protection scope of this application.

[0016] This application provides a method for recommending household goods. The method can be applied to a client and server system architecture. The client may be an electronic device with a shooting function. Specifically, the client may be, for example, a tablet computer, a notebook computer, a smart phone, a smart wearable device, and t...

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PUM

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Abstract

The embodiment of the invention discloses a household commodity recommendation method, a client and a server. The method comprises the following steps: providing an image sample library associated with home furnishing, wherein the image sample library comprises a scene image sample and a commodity image sample associated with the scene image sample, wherein the household commodity represented by the commodity image sample is located in a scene represented by the scene image sample, the scene image sample is provided with a scene label. The method comprises the following steps: receiving an indoor shot image sent by a client, and identifying the scene label of the shot image from the shot image based on a pre-trained neural network; determining a target scene image sample matched with the shot image from an image sample library according to the identified scene label of the shot image; and feeding back the household commodity represented by the commodity image sample associated with thetarget scene image sample to the client. According to the technical scheme provided by the invention, the home shopping experience of the user can be improved while the home shopping cost is reduced.

Description

Technical field [0001] This application relates to the field of Internet technology, and in particular to a method for recommending household goods, a client and a server. Background technique [0002] With the continuous development of Internet technology, more and more people choose to shop online. For some traditional industries, such as the furniture and home improvement industry, when purchasing home furnishing products online, users often need to judge whether the selected home furnishing products match the real home environment of their homes. [0003] At present, in order to select home furnishing products that are reasonably compatible with the real home environment, users often need to make an appointment for the designer to visit, so that the designer can provide some home furnishing product matching suggestions or furniture customization suggestions based on the user’s real home environment. According to the suggestions given by the designer, you can buy home furnishin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06K9/62
CPCG06Q30/0631G06F18/21
Inventor 赵雷
Owner ALIBABA (CHINA) CO LTD
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