针对以网络博彩为代表的非法交易严重破坏了网络支付环境,本报告中的风险控制爬虫系统分为:网站基础数据维护系统、博彩网站定位系统、标记模板和智能抽取爬虫系统、分布式任务分发系统、文本分析系统和图像识别分析系统。通过匹配爬虫监控系统的关键有效信息,可以及时有效地发现博彩网站的非法交易订单,并且及时在控制台交互界面显示,将结果上报给风险控制业务部门进行处理,必要时系统将自动实施预警措施进行干预。
<<Illegal transactions represented by online gambling have seriously damaged the online payment environment. The risk control crawler system in this report is divided into:website basic data maintenance system,betting website positioning system,markup template and intelligent extraction crawler system,distributed task distribution system,text analysis system and image recognition analysis system. By matching the key effective information of the crawler monitoring system,the illegal trading order of the gambling website can be found timely and effectively,and displayed in the background console interactive interface in time,and the result is reported to the risk control business department for processing,and the system will be automatically implemented if necessary. Early warning measures are intervened. On this basis,the countermeasures and suggestions for further improving the illegal transaction monitoring and analysis system of the gambling website using the crawler system are proposed.
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