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《基于信任的電子商務(wù)個性化推薦關(guān)鍵問題研究》由會員上傳分享，免費在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。
1、江西財經(jīng)大學(xué)博士學(xué)位論文基于信任的電子商務(wù)個性化推薦關(guān)鍵問題研究姓名：張富國申請學(xué)位級別：博士專業(yè)：管理科學(xué)與工程指導(dǎo)教師：徐升華20090501(3)提出了基于信任的推薦多樣性算法，該算法通過選擇主題多樣的信任鄰居來平衡推薦結(jié)果的準確性和多樣性。并通過一系列的實驗結(jié)果表明，該算法能有效地提高推薦的多樣性。(4)在對信任傳遞可能引起的惡意攻擊形式進行分析的基礎(chǔ)上，提出了用數(shù)-據(jù)起源法來追蹤惡意用戶，進而把惡意用戶限制為不信任用戶的防御方法。關(guān)鍵詞：信任；個性化推薦；協(xié)同過濾：信任傳遞；電子商務(wù)AbstractWiththerap
2、id．popularizationofIntemet，virtualshoppingenvironmentofe-commercenotonlyprovidenewdevelopmentchancefortheenterprises，butalsoputforwardhowtohandlethechallengeofinformationoverloadofwebproducts．Asameansofpersonalizedservice，recommendersystemsCanrecommendinterestingitem
3、sforusers，assistuserstomakedecision，andbecomeallgoodassistantforusers’shoppingonline．Sincetheemergenceofthefirstrecommendersysteminthe1990s，remarkableprogressinthisfieldhasbeenachieved，buttherestillexistssomeissueshardtoovercomeintraditionalcollaborativefilteringtech
4、nology．Inthesituationoftherapiddevelopmentofwebsocialnetworks,becauseofincorporatingtrustmechanismintotraditionalcollaborativefilteringrecommendersystems，trust-basedrecommendersystemsCanimproveorovercometheselimitationseffectively,andbecomeoneofthemostimportantresear
5、chprojects．Thisthesisexploredandresearchedsomekeyissuesoftrust—basedpersonalizedrecommendersystemsine-Commerce．Firstly,itgaveanoverviewofthetheoreticalresearchanddevelopmentonpersonalizedrecommendationtodate．Theadvantagesof‘collaborativefilteringtechnologyandresearch
6、challengeswereanalyzed．Secondly,fromthedefinitionandpropertiesofnetworktrust，thecharacteristicofthetrustevaluationmodelswereanalyzedandcompared．Thirdly,ageneralmodeloftrust-basedpersonalizedrecommendersystemandsystemframeworkwaspresented．Thentheauthorgavetheresearchw
7、orkontrust·basedpersonalizedrecommendationalgorithmforuser’smultipleinterests，diversityofrecommendationlistitemsandrecommendationattackoftrust-basedrecommendersystem．。Theinnovationalworksofthisthesisareasfollowing：(1)Basedonthebasicmodaloftraditionalcollaborativefilt
8、eringsystemandthecharacteristicofwebsocialnetwork，theauthorpresentedageneralmodaloftrust—basede-commercepersonalizedrecommendersyst
