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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