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Method and device for intelligently identifying panic buying behaviors

A technology of intelligent identification and behavior, applied in the field of Internet finance, can solve the problems of unfair and non-artificial snap-buying behavior, the effective interception rate is not high enough, and the user experience is reduced.

Pending Publication Date: 2020-03-17
无线生活(北京)信息技术有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, many people who participated in product flash sales have experienced that no matter how fast they click, they cannot succeed in product flash sales
The main reason is that the natural manual click speed of human beings is far lower than the frequency of click instructions issued by computers, which will cause people who participate in product flash sales through manual methods to suffer from unfair product flash sale activities, thereby reducing the number of people who have participated in product flash sales through manual methods. User Experience of People Participating in Lightning Deals
In the prior art, the interception of seckill requests is carried out by limiting the IP of some user accounts and other relatively fixed strategies, which is not high enough for the effective interception rate of non-manual snapping behaviors

Method used

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  • Method and device for intelligently identifying panic buying behaviors
  • Method and device for intelligently identifying panic buying behaviors
  • Method and device for intelligently identifying panic buying behaviors

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Embodiment Construction

[0063] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0064] figure 1 is a flow chart of a method for intelligently identifying panic buying behavior according to an exemplary embodiment, as shown in figure 1 As shown, the method for intelligently identifying panic buying behavior includes the following steps S11-S14:

[0065] In step S11, a corresponding initial weight data set is constructed for the user account;

[0066] In step S12, obtain the request behavior fingerprint of the user account;

[0067] In step S13, the request behavior fingerprint of the user account is substituted into a preset hierarchical non-linear function for calculation, and the abnormality structure score of the user account is obtained; ...

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Abstract

The invention discloses a method and a device for intelligently identifying panic buying behaviors. The method for intelligently identifying the panic buying behavior comprises the following steps: constructing a corresponding initial weight data set for a user account; obtaining a request behavior fingerprint of the user account; substituting the request behavior fingerprint of the user account into a preset hierarchical nonlinear function for calculation to obtain an anomaly degree structure score of the user account; and when the abnormal degree structure score of a certain user account islower than a certain threshold, intercepting the panic buying behavior of the user account. According to the method and device, the panic buying behaviors are analyzed based on dynamic sampling and multi-dimensional sampling, so that the recognition accuracy of the panic buying behaviors in a non-manual mode can be effectively improved, and the panic buying behaviors sent by the user account in the non-manual mode are intercepted.

Description

technical field [0001] The invention relates to the technical field of Internet finance, in particular to a method and device for intelligently identifying panic buying behavior. Background technique [0002] On the Internet, commodity flash sales activities have become an indispensable and important part of people's online shopping. However, many people who participated in product flash sales have experienced that no matter how fast they click, they cannot succeed in product flash sales. The main reason is that the natural manual click speed of human beings is far lower than the frequency of click instructions issued by computers, which will cause people who participate in product flash sales through manual methods to suffer from unfair product flash sale activities, thereby reducing the number of people who have participated in product flash sales through manual methods. The user experience of people participating in Lightning Deals. In the prior art, the interception of...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0601
Inventor 郑真真
Owner 无线生活(北京)信息技术有限公司
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