社交网络中广告信息检测方法研究与实现

AbstractIn order to improve people's efficiency of obtaining information resources andimpro ve people's cognition of crawler system,this system development and design isspecially carried out.This system chooses React.j s+NeXT.Js Egg.Js MySQL according to thedev elopment requirements,which is suitable for its own technology stack.Based onthe und erstanding of the front-end technology,a structured small crawler is mainlywritten for a specific website,and some measures to bypass anti-crawler are adoptedto carry out incr emental processing and parallel processing on it logically andintegrate it into the server side.Then,the management platform and user interactionplatform are prepared for its c onfiguration,so that the management entity andinteraction data can be visualized,and th e recommendation algorithm for the labelingof user interaction data can be realized.Information system part of the application of network technology and commonlyus ed optimization scheme,which for user-friendly,request optimization and otheraspects of their own understanding of the optimization process.Finally,I try to deploy the cloud server of the system and configure theperforman ce detection application,so as to check the running state of the system atany time and make adjustments.This paper is to describe the technical principles and applications,and then asimpl e function,interface,data and other aspects of the system for a simpleintroduction and analysis.and show the effect.KeyWords:Incremental crawler;System development;Tag recommendationalgori thm:The whole stack:socket