In　the　spread　of　information,　how　to　quickly　find　one＇s　favorite　movie　in　a　large　number　of　movies　become　a　very　important　issue.　Personalized　recommendation　system　can　play　an　important　role　especially　when　the　user　has　no　clear　target　movie.　In　this　paper,　we　design　and　implement　a　movie　recommendation　system　prototype　combined　with　the　actual　needs　of　movie　recommendation　through　researching　of　KNN　algorithm　and　collaborative　filtering　algorithm.　Then　we　give　a　detailed　principle　and　architecture　of　JAVAEE　system　relational　database　model.　Finally,　the　test　results　showed　that　the　system　has　a　good　recommendation　effect.