Internet advertisement risk monitoring method and system based on big data architecture

Abstract

The invention discloses an internet advertisement risk monitoring method and system based on a big data architecture. The method comprises the following steps: periodically acquiring data from the Internet; accessing the acquired data in real time, and performing verification cleaning and picture identification on the data; storing and warehousing the accessed data; analyzing and extracting suspected illegal data in the stored data in combination with a preset illegal behavior feature library; and based on the analyzed and extracted data, carrying out query service and business application ofsuspected illegal data. According to the method, an intelligent supervision mode is fully utilized, supervision means are enriched, the supervision mode is optimized, the supervision effect is improved, a long-acting mechanism is perfected, benign development of Internet advertisements is accelerated and promoted, and the supervision level is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of computer network and big data application, and in particular relates to an Internet advertising risk monitoring method and system based on a big data architecture. Background technique [0002] With the rapid development of informatization, the advertisements of many businesses have shifted from traditional advertisements (television advertisements, radio station advertisements, newspaper advertisements, etc.) to Internet advertisements. Corporate websites, microblogs, forums, news media, third-party platforms, WeChat public accounts, etc. have become the birthplace of advertising. At present, relying on manual verification of advertisements placed on corporate websites, Weibo, forums, news media, WeChat public accounts, etc., greatly reduces work efficiency. [0003] Internet advertisements have a wide range of coverage and fast update frequency. Through manual verification, there will be few platforms ...

AI Technical Summary

Problems solved by technology

[0004] Currently relying on manual verification of advertisements placed on corporate websites, Weibo, forums, news media, third-party platforms, WeChat public accounts, etc., greatly reducing work efficiency

Internet advertisements have wide coverage and fast update frequency. Through manual verification, there will be fewer coverage platforms, low work efficiency, and failure to find illegal advertisements in time.

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