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Recommendation method and device based on AI user portrait, server and medium

A recommendation method and recommendation service technology, applied in the field of user portraits, can solve problems such as low accuracy, and achieve the effect of improving accuracy and avoiding insufficient data volume.

Pending Publication Date: 2021-12-03
WEIKUN (SHANGHAI) TECH SERVICE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present application provides a recommendation method, device, server, and medium based on AI user portraits to solve the problem of low recommendation accuracy when the amount of user behavior data is small

Method used

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  • Recommendation method and device based on AI user portrait, server and medium
  • Recommendation method and device based on AI user portrait, server and medium
  • Recommendation method and device based on AI user portrait, server and medium

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Embodiment Construction

[0023] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0024] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0025] It should...

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PUM

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Abstract

The invention is suitable for the technical field of user portraits, and particularly relates to a recommendation method and device based on an AI user portrait, a server and a medium. According to the method, when recommendation service is triggered, behavior data of a triggering user triggering the recommendation service is obtained, when it is detected that the data size of the behavior data does not reach a target number, target data is written into the behavior data, the target data are data with behavior attributes meeting requirements in the behavior data, and when the target number is reached, according to the written behavior data, a target user is matched from a user portrait database in a target scene, user portrait data of the target user is recommended in the user portrait database to a trigger user, and target data is added into original behavior data, so that the situation of insufficient data volume can be avoided, and portrait matching based on artificial intelligence can improve the user experience. And the matched behavior data of the target user is recommended to the triggering user, so that the recommendation accuracy can be improved.

Description

technical field [0001] The present application belongs to the technical field of user portraits, and in particular relates to a recommendation method, device, server and medium based on AI user portraits. Background technique [0002] At present, when users purchase products or consume, how to intelligently guide users to make purchases has become a major concern. Users generate purchasing or consumption behaviors in a scenario, such as purchasing financial products online, purchasing clothes offline, etc. These behaviors reflect the user's preferences, and these behaviors can be collected and analyzed to recommend corresponding purchases to users. products and other similar products, so as to provide users with shopping guide services, which is convenient for users to choose and purchase. However, when the amount of user behavior data in a certain scenario is small, the recommendation accuracy of directly analyzing the behavior data to recommend products is low, which is n...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 刘冬
Owner WEIKUN (SHANGHAI) TECH SERVICE CO LTD
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