Networked　manufacturing　has　been　greatly　promoting　the　manufacture　business,　and　creating　a　significant　opportunity　for　developing　cloud　service　of　information　resource　management.　Based　on　the　concept　of　cloud　service　of　information　resources,　a　two-stage　matching　model　in　this　paper　is　proposed　to　deal　with　the　matching　problem　between　supply　and　demand,　which　could　match　possible　partners　for　networked　manufacturing　enterprises.　Firstly,　the　model　was　constructed　for　clustering　the　characteristics　from　both　sides　of　supply　and　demand　in　order　to　make　matching　groups.　Then,　we　adopted　a　weighted　Euclidean　distance　calculation　to　calculate　the　similarity　between　demand　side　and　supply　side,　which　could　find　more　suitable　partners　automatically.　Finally,　a　numerical　example　was　presented　to　test　effectiveness　and　feasibility　of　the　model.