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User portrait analysis method based on e-commerce big data and artificial intelligence platform

A technology of e-commerce and analytical methods, applied in the field of artificial intelligence platform, can solve the problems of insufficient depth dimension, affecting information push and audience experience optimization, and difficult to further effectively tap audience browsing tendency.

Active Publication Date: 2020-09-04
长沙居美网络科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, there is a lack of in-depth mining of viewers' further browsing behaviors for live product recommendation information, and it is difficult to further effectively mine viewers' browsing tendencies. As a result, the depth and dimension of the analysis process for viewers' user portraits is not wide enough, which in turn affects subsequent information push and Audience experience optimization

Method used

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  • User portrait analysis method based on e-commerce big data and artificial intelligence platform
  • User portrait analysis method based on e-commerce big data and artificial intelligence platform
  • User portrait analysis method based on e-commerce big data and artificial intelligence platform

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Embodiment Construction

[0069] The present disclosure will be described in detail below with reference to the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments.

[0070] figure 1 It is an interactive schematic diagram of a user portrait analysis system 10 based on e-commerce big data provided by an embodiment of the present disclosure. The user portrait analysis system 10 based on e-commerce big data may include an artificial intelligence platform 100 and a live video terminal 200 communicatively connected to the artificial intelligence platform 100 . figure 1 The shown user portrait analysis system 10 based on e-commerce big data is only a feasible example, and in other feasible embodiments, the user portrait analysis system 10 based on e-commerce big data may also only include figure 1 Some of the components shown may also include other components.

[0071]In this embodiment, the live video termi...

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Abstract

The embodiment of the invention provides a user portrait analysis method based on e-commerce big data and an artificial intelligence platform. The method comprises the steps of obtaining browsing behavior information of a video live broadcast terminal of a live broadcast audience account for live broadcast commodity recommendation information of the live broadcast audience account; performing deepanalysis to obtain a current positive browsing relationship feature and a current negative browsing relationship feature; and obtaining browsing tendency information after comparison, determining browsing behavior label information of the anchor audience account based on the browsing tendency information, and then analyzing the browsing behavior label information of the anchor audience account according to a preset artificial intelligence model to generate a user portrait of the anchor audience account. Thus, deep mining of further browsing behaviors of audiences on the live broadcast commodity recommendation information can be realized, so that the browsing tendency of the audiences is effectively mined, the deep dimension of the analysis process of the user portraits of the audiences isexpanded, and subsequent information pushing and audience experience optimization are facilitated.

Description

technical field [0001] The present disclosure relates to the technical fields of e-commerce and big data, in particular, to a user portrait analysis method and an artificial intelligence platform based on e-commerce big data. Background technique [0002] With the rapid development of Internet and mobile communication technology, Internet video live broadcast can publish e-commerce products and other content to the Internet on the spot, making use of the Internet's intuitive, fast, good form, rich content, strong interactivity, unlimited geographical, Audience can be divided and other features to strengthen the interactive effect of e-commerce products. [0003] At present, during the live broadcast of online interactive live broadcast products that initiate interaction, the audience’s interactive behavior characteristics can be effectively mined based on the graphical interaction of the audience during the live broadcast of online interactive live broadcast products, so as ...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06F16/9535
CPCG06Q30/0631G06F16/9535
Inventor 石伟
Owner 长沙居美网络科技有限公司
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