基于社會(huì)計(jì)算的電子商務(wù)協(xié)同過(guò)濾推薦算法研究

1、ADissertationSubmittedtoZhejiangUniVersityfortheDegreeof’MasterofEngineering’，’，TITLE：＆曼曼垡塹QhQ￡￡Q!!凼Q!=叢iy曼Ei!主曼d墜g至墜QQQl3墮蛩墮曼墜亟塹iQ墜△!gQ!=i童b墅墮曼旦壘墨曼亟onSocialComl)utingAuthor：Supervisor：Subject：College：SubmittedDate：2Q!!=

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4、如iIlgnleexponentialiIlcensementofillfomationandusers，collaboratiVefilteringalgori岫ssu丘打tv舊problemsatleaSt：(1)theprobl鋤howrecommendationsystemscanmilizesocialfeaturesofuserst0iIllI)r0Vetherecommenda：tionresults；(2)tllepro

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7、sers’similarit)rand饑lst協(xié)msferTheexperimentalresultsshowthattlleproposedalgorimmscanpr0Videmgherglob2Llrecommendationprecisiona11dcoVeragearldcallprovideabettersolutiont0solVenlecold—startproblems1’0solVe廿lesecondproblem，

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9、riIlllerinterestsorneedsandtlleyV訂11change嬲劬epaSsedbyCollSequentlytheproposedalgoritll】【ndefinedinterestde毋eenmctiont0me嬲urenlechaIlgeofuserS’interestscausedbytimeTheexpe池entmresultsShow也atmeproposedalgorithmcaIlproVideh