The　social　search　use　social　ability　to　participate　in　the　screening　and　sorting　of　search　results　in　order　to　make　the　result　to　tend　to　reflect　the　hopes　of　the　people　better.　Based　on　the　prototype　of　social　search,　the　concept　of　user　tag　feedback　scores　is　employed.　Based　on　this　concept,　a　tag-based　feedback　web　ranking　algorithm　is　designed.　The　algorithm　can　efficiently　use　the　user＇s　feedback.　Finally,　a　variety　of　evaluation　methods　are　used　to　analyze　the　search　results　of　different　sort.　The　experiments　show　that　the　new　sorting　algorithm　can　meet　the　user＇s　real　needs　better.　©　2012　IEEE.