Design And Implementation Of A Hot News Tracking System Based On Microservice Architecture

With the development and popularization of Internet technology,news readers' access to information has shifted from newspapers,magazines and television to news websites and smart phone apps.News information not only comes from a wide range of sources,but also updates frequently.People often receive news passively.If they are not involved in the event,few people can actively and continuously pay attention to the progress of a news.From this point of view,what most of the news systems on the market lack is not the continuous front-line media people,but the memory that the Internet should show.Therefore,a hot news tracking system in the form of timeline is proposed.With the help of web crawler,it can automatically retrieve the hot news and its context,and show a group of news to readers through natural language processing,so that readers can quickly and comprehensively understand the whole development process of news.Microservice architecture can split a single system into a group of services.Services are independent and have clear division of labor.Services communicate with each other through lightweight interaction mechanism.Through product research and demand analysis,the system can be divided into three functional modules: data acquisition module,data management module and data display module,and the technical selection is determined.The hot news tracking system based on microservice architecture uses Web Magic crawler framework to obtain hot news data and natural language processing to realize time extraction and summary generation of news text.The two interact asynchronously through Redis middleware,a key-value database.Then,based on the Spring Cloud microservice framework,the functional interface is developed.Based on these preliminary work,a feasible development scheme is developed,and the design and implementation of the system is completed.The hot news tracking system can help news readers to pay close attention to and obtain hot news and related news in real time,and then integrate the news in the form of timeline with natural language processing algorithm,and automatically generate summary for easy reading.Whenever there is a new development of hot news,users can be informed,which saves the time for users to search by themselves.According to the test results,the system has perfect functions in each module and has good performance,security and ease of use,which has a certain reference value for the operation and construction of news portal.