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Image-based object recommendation method, apparatus and device/terminal/server

A technology for recommending methods and objects, applied in the computer field to achieve the effect of improving accuracy and comprehensiveness, and accurate user push

Pending Publication Date: 2018-12-21
UCWEB SINGAPORE PTE LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the images taken or downloaded by users often have certain user characteristic information such as user preference information, and the existing technology cannot push them based on this user characteristic information.

Method used

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  • Image-based object recommendation method, apparatus and device/terminal/server
  • Image-based object recommendation method, apparatus and device/terminal/server
  • Image-based object recommendation method, apparatus and device/terminal/server

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] refer to figure 1 , shows a flow chart of steps of an image-based object recommendation method according to Embodiment 1 of the present application.

[0024] It is worth noting that the steps S101 to S103 described in this application do not represent the order in which they are executed.

[0025] The image-based object recommendation method of this embodiment includes the following steps:

[0026] Step S101: Perform analysis according to the obtained image data to obtain image feature information corresponding to the image data.

[0027] Specifically, the image data obtained in the embodiment of the present application includes image data taken by the user using a smart terminal, or image data downloaded by the user from other shooting devices and the Internet.

[0028] In the embodiment of the present application, analysis and processing are performed according to the obtained image data, including image analysis processing and image description file processing, so ...

Embodiment 2

[0051] This embodiment includes the above steps S101 to S103. see Figure 4 , the step S103 includes:

[0052] S1031. According to the N-dimensional user feature information, perform N-dimensional collaborative clustering processing on similar users.

[0053] The cooperative clustering in the embodiment of the present application includes at least one of the following: according to the user characteristic information, users with the same or similar user characteristic information are combined and classified into similar users. According to the user characteristic information, objects satisfying the user characteristic information are combined and classified into similar objects. According to the user feature information, the corresponding relationship between the user and the object is combined and classified into the same recommendation model.

[0054] S1032. Obtain various object information corresponding to various types of users, and perform a common push processing ope...

Embodiment 3

[0060] refer to Figure 5 , shows a structural diagram of an image-based object recommendation apparatus according to Embodiment 3 of the present application.

[0061] The image-based object recommendation device of this embodiment includes:

[0062] The image analysis module 501 is configured to perform analysis according to the obtained image data, and obtain image feature information corresponding to the image data.

[0063] The information obtaining module 502 is configured to comprehensively process the image feature information to obtain N-dimensional user feature information, where N is a natural number.

[0064] The push processing module 503 is configured to perform push processing operations on similar objects for similar users according to the N-dimensional user characteristic information.

[0065] Specifically, the image data obtained in the embodiment of the present application includes image data taken by the user using a smart terminal, or image data downloade...

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PUM

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Abstract

Embodiments of the present application provide an image-based object recommendation method, apparatus, and device / terminal / server. The method includes: obtaining image feature information corresponding to the image data by analyzing the obtained image data; synthetically processing the image characteristic information to obtain N-dimensional user characteristic information, wherein N is a naturalnumber; according to the N-dimensional user characteristic information, push processing operation of the same kind of object being carried out for the same kind of user. An embodiment of the present application realizes object pushing based on image data by analyzing the obtained image data.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to an image-based object recommendation method, device and equipment / terminal / server. Background technique [0002] With the development of mobile smart terminals, more and more users use the smart terminals to take or download images, and there are usually great differences in the ways and contents of the images they obtain. For example, some users are used to taking pictures with beauty cameras, and some users are used to taking pictures with professional cameras and downloading them to smart terminals. For another example, some users are accustomed to photographing images with people, while others are accustomed to photographing food or scenery. [0003] Usually, the collection of user characteristics is based on user behavior, that is, visiting websites, playing videos, etc. For image shooting and image downloading, it only stays in the aspect of image sharing. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/06G06K9/00
CPCG06Q30/0631G06V20/10
Inventor 黄龙飞蔡山清
Owner UCWEB SINGAPORE PTE LTD