Website traffic trueness measurement method and system based on GAN and storage medium

A measurement method and website traffic technology, applied in neural learning methods, network data retrieval, network data indexing, etc., can solve problems such as difficulty in meeting identification requirements, inability to be objective, inability to adapt to changes in circumstances, and achieve accurate identification , to avoid rigidity and the effect of subjective problems

Pending Publication Date: 2022-07-22
北京星合之星网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1) Once the rules are determined, they are rarely modified and cannot adapt to changes in the situation
[0005] 2) Rules rely on human experience and subjective judgment, and cannot be objective
[0006] 3) Different websites have different situations, and one-size-fits-all rules are difficult to meet the identification requirements

Method used

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  • Website traffic trueness measurement method and system based on GAN and storage medium
  • Website traffic trueness measurement method and system based on GAN and storage medium
  • Website traffic trueness measurement method and system based on GAN and storage medium

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Embodiment Construction

[0038] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments.

[0039] Based on the embodiments of the present invention, those of ordinary skill in the art can make some simple modifications and modifications without creative work, and all other obtained embodiments fall within the protection scope of the present invention.

[0040] Reference herein to "an example" means that a particular feature, structure, or characteristic described in connection with the example can be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification is not necessarily all referring to the same embodiment, nor is it a separate or alternative embodiment that is mu...

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Abstract

The invention discloses a GAN-based website traffic trueness measurement method and system and a storage medium. The method comprises the following steps: collecting website click event data; constructing a behavior sequence by using the website click event data; training the generative adversarial network model, continuously generating a simulated behavior sequence by using a generator in the generative adversarial network model, continuously learning how to judge whether the sequence is real or false by using a discriminator, and terminating the training until the loss of the generator and the discriminator is not reduced any more to obtain a trained generative adversarial network model; and using a discriminator of the trained generative adversarial network model to discriminate and measure the trueness of the constructed behavior sequence. The system comprises a data collection module, a behavior sequence construction module, a network model training module and a truth judgment module. According to the method, more accurate identification can be realized, the behavior rules of the user are learned by using a machine learning method, some rules which cannot be found manually can be found, and the method can adapt to different websites.

Description

technical field [0001] The invention belongs to the technical field of advertisement display effect monitoring, and in particular relates to a GAN-based website traffic authenticity measurement method, system and storage medium. Background technique [0002] Traffic cheating has become an open secret in the advertising industry, where there is a lot of non-human traffic (No-HumanTraffic), according to a new report from Virginia-based Distil Networks, a bot monitoring and API security expert, in 2018. More than a third of web traffic is driven by bots, and of that, more than 20% are driven by "bad bots" (as opposed to well-meaning bots such as search engine crawlers), a 6.4% increase from 2017. A bot is an automated software script / application used to perform repetitive tasks online. Common simulators in the domestic market include: NetEase MUMU simulator, Thunderbolt simulator, Xiaoyao simulator, Ye Shen simulator and Bluestack simulator, etc. These simulators can arbitrari...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06N3/04G06N3/08G06F16/2458G06F16/951G06F11/34
CPCG06Q30/0263G06N3/08G06F16/951G06F16/2474G06F11/3438G06F11/349G06F11/3476G06N3/045
Inventor 张浩
Owner 北京星合之星网络科技有限公司
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