In　view　of　the　problems　existing　in　traditional　recommendation　algorithm　of　low　accuracy　and　low　efficiency,　this　paper　presents　a　machine　learning　based　social　media　recommendation　algorithm.　The　algorithm　is　based　on　the　traditional　personalized　collaborative　filtering　algorithm,　and　combines　with　the　correlation　characteristics　among　users　in　a　social　network.　Besides,　the　algorithm　also　considers　the　network　rating　factors　and　upgrade　its　efficiency　by　using　clustering　algorithm.　At　last,　the　algorithm　is　realized　on　the　Hadoop　cloud　platform.