The　tags　are　usually　tagged　by　different　users　in　social　image　sharing　websites,　which　can　indicate　image　semantic　information　and　imply　user＇s　preference.　Therefore,　the　tags　can　contribute　to　personalized　recommendation　of　social　image.　However,　the　present　social　image　tags　models　only　consider　single　tag,　resulting　in　the　relationships　among　tags　are　ignored.　In　this　paper,　we　propose　a　novel　method　to　create　tag　tree　of　social　image　for　personalized　recommendation.　Firstly,　the　tag　ranking　is　realized　to　remove　noisy　tags.　Then,　the　first　layer　tags　are　selected　from　re-ranked　tags　lists.　To　sufficiently　express　tag＇s　significances,　the　tag　subtrees　can　be　created　based　on　different　image　categories　and　combined　with　first　layer　tags　to　create　tag　tree.　Finally,　the　personalized　recommendation　of　social　image　is　achieved　by　using　tag　tree.　Experimental　results　show　that　our　tag　tree　can　effectively　express　the　relationships　among　tags　as　well　as　obtain　satisfactory　results　in　personalized　recommendation　of　social　image.　©　2017　IEEE.