With　the　rapid　growth　of　Internet,　the　network　resource　is　increasing　explosively.　Information　retrieval　is　one　of　main　purposes　as　we　browse　Internet.　At　present,　there　are　many　retrieval　methods　and　retrieval　tools　in　information　retrieval　field,　users　can　use　all　of　these　avenues　to　retrieve　information.　But　how　to　increase　the　rapidity　and　precision　has　become　the　hotpot　in　this　field.　In　this　paper,　an　optimizing　clustering　search　based　on　the　research　at　present　is　presented.　The　algorithm　of　clustering　is　applied　to　the　results　which　are　returned　by　search　engine,　then　modify　the　relevance　of　clustering　results　and　query　terms　according　to　users＇　click　through　data,　optimizing　the　query　results.　©2009　IEEE.