基于springboot用户画像的推荐系统设计与实现

河南城建学院本科毕业设计（论文）AbstractAbstract(黑体五字)With the advent of the era of data expansion,recommendation technology has been widelyused in major Intemet industries,especially in e-commerce promotion,information search andother industries.The level of intelligent personalization has made significant progress.In modernsociety,Internet application products based on news information are developing very rapidly,andthe ways and means of users to read news are gradually increasing,which leads to the rapid growthof various news and information.Various types of news related products continuously provide userswith all aspects of news information.Due to the large amount of information,users will inevitablyreceive a lot of unnecessary information passively.All kinds of junk information caused byinformation overload is seriously hindering people to obtain their effective information moreefficiently.Therefore,the major news websites and apps are committed to collecting all kinds ofdata of users,recommending suitable news for different users,so that the push of news apps can bemore accurate for their own users.User portrait technology is to solve the problem of accuratepush.The principle of user portrait recommendation system can be simply understood asrecommending news for users by studying their behavior preferences.Different users will havedifferent preferences for different types of news.When users repeatedly search for news with somespecial characteristics,the system will automatically filter out this kind of news and push it to thisuser.The birth of personalized recommendation system is to solve the current situation ofinformation explosion,for users to quickly and accurately push out the information they may needto see.In this paper,based on the user's search records,according to the characteristics of the news,the keywords are extracted as tags.Each search record of the user will be extracted keywords tocount the user's preferences.When the system determines that the user has a preference for thenews related to the keyword,the system will push similar related news for the user.The system uses group up and having functions to process database data.Based on spring bootframework,the foreground uses vue.js and element UI to build interface.At the same time,ecarts isused to make the visualization chart for the statistical data,so that the administrator can observe thedata in time and collect the needed information.