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電子商務(wù)推薦系統(tǒng)核心技術(shù)研究

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  本文關(guān)鍵詞:電子商務(wù)推薦系統(tǒng)核心技術(shù)研究,由筆耕文化傳播整理發(fā)布。


參考文獻(xiàn);feedbackinconversational;recommendersystems.Inter;ofElectronic;Commerce,2006,11(2):35—5;20;KaiYu,XiaoweiXu,and;Ester,M.FeatureWeighting;InstanceSelectionforColl;Filtering:AnIn

參考文獻(xiàn)

feedbackinconversational

recommendersystems.InternationalJournal

ofElectronic

Commerce,2006,11(2):35—57.

20

KaiYu,XiaoweiXu,and

Ester,M.FeatureWeightingand

InstanceSelectionforCollaborative

Filtering:AnInformation-TheoreticApproach.KnowledgeandInformationSystems,2002.21

余力,劉魯,李雪峰.用戶多興趣下的個(gè)性化推薦算法研究.計(jì)算機(jī)集成制造系統(tǒng).

2004,1

0(12):29—34

Riedl,J。Applicationof

22

Sarwar,B.,Karypis,G,andDimensionalityReduction

inRecommender

System-ACaseStudy.InACMWebKDD2000Workshop,2000.

23潘紅艷,林鴻飛,趙晶.基于矩陣劃分和興趣方差的協(xié)同過(guò)濾算法.情報(bào)學(xué)報(bào).2006,

25(1):55-59

24鄧愛(ài)林.電子商務(wù)推薦系統(tǒng)關(guān)鍵技術(shù)研究.復(fù)旦大學(xué)博士學(xué)位論文.2003.

25

張光衛(wèi),李德毅,李鵬,康建初,陳桂生.基于云模型的協(xié)同過(guò)濾推薦算法.軟件學(xué)報(bào),2007,18(10):78-82

26高靜.基于人工免疫系統(tǒng)的推薦系統(tǒng)研究.華東師范大學(xué)碩士學(xué)位論文.2007.

27鄧愛(ài)林,左子葉,朱揚(yáng)勇.基于項(xiàng)目聚類的協(xié)同過(guò)濾推薦算法.小型微型計(jì)算機(jī)系統(tǒng).

2004.25(9):I1l-115

28李瑞.蟻群聚類算法及其在推薦系統(tǒng)中的應(yīng)用.西南師范大學(xué)碩士學(xué)位論文.2005.29張娜,何建民.基于項(xiàng)目與客戶聚類的協(xié)同過(guò)濾推薦方法.合肥工業(yè)大學(xué)學(xué)報(bào)(自然科

學(xué)版).2007,30(9):27.35

30陶紅亮.雙向聚類迭代的協(xié)同過(guò)濾推薦算法.江西師范大學(xué)碩士學(xué)位論文.2007.

31

Kim,D.H.,Atluri,V,eta1.AClickstream—BasedCollaborativeFilteringPersonalizationModel:

Towards

on

Better

Performance.Proceedings

DataLiu,YuZhi

oftheSixthAnnual

ACM

International

Workshop

for

W曲Informationand

Zhang,LuMachine

Management,2004:88-95.

Dong.An

online

Bayesian

32

Shaozhong

NetworksModel

E—commercialPersonalizedRecommendationSystem.ProceedingsoftheSixthIntemational

Conference33

on

Learning

and

Cybernetics,2007:19-22

李濤,王建東.基于多層相似性用戶聚類的推薦算法.南京航空航天大學(xué)學(xué)報(bào).

2006,38(6):89—93

Kim,Y.S.,Yuan,B.J.,eta1.Developmentof

34

RecommenderSystemBased

on

Navigational

andBehavioralPatternsofCustomersinE—Commercesites.ExpertSystemWithApplications,and

NewImplicit

Interests.

2005,28(2):381—93.

35

Shapira,B.,Taieb-Maimon,M,eta1.StudyoftheUsefulnessIndicatorsandTheirOptimalCombinationforAccurate

ProceedingofACMSymposium

on

of

Known

InferenceofUsers

AppliedComputing,2006:18—19.

Content

36

Mobasher,V.,Dai,H.,Luo,T.,Sun,Y.,andZhou,J.IntegratingWebUsageandforMoreEffectivePersonalization.InProceedingsoftheInternational

E—CommerceandWebTechnologies(ECWeb2000),2000.

Mining

on

Conference

37

Burke,R.Integrating

Knowledge-based

on

andCollaborative—filteringRecommenderSystem.In

Proceedingsoftheworkshop1999.

38

AI

andElectronicCommerce.AAAI99.Orlando,Florida,

Tran,T.,Cohen,R.HybridRecommenderSystemforElectronic

Commerce.IntheAAAI一2000

Workshop

39

Xizheng

on

Knowledge—basedElectronicMarkets,AustinTX,USA,2000.

PersonalizedRecommendationSysteminE-commendationUsing

Zhang.Building

AssociationRule—BasedMiningConference

on

andClassification.ProceedingsoftheSixthIntemational

MachineLearningandCybemetics,HongKong,2007:19-22.

.67.

北京工業(yè)大學(xué)管理學(xué)碩上學(xué)位論文

40李婷,基于用戶興趣與合作的個(gè)性化電子商務(wù)推薦系統(tǒng)研究.哈爾濱工業(yè)大學(xué)碩士學(xué)位

論文.2006.

41

Melville,P-,Mooney,R.J.,et

a1.Content-Boosted

on

Collaborative

Filtering

for

Improved

Recommendations.ProceedingofConference

42

ArtificialIntelligence,2002:87-92.and

Collaborative

Filters

in

an

Claypool,M.,eta1.Combining

Newspaper.ProceedingEvaluation,1999.

Content-BasedOnline

ofACM

WorkshopRecommenderSystems:Algorithmsand

Models

for

Unified

Collaborative

of

and17th

43

Popescul,A.,Ungar,L.H.,etContent-BasedConference

on

a1.Probabilistic

Recommendationin

Sparse—DataEnvironments.Proceeding

UncertaintyinArtificialIntelligence,2001:37-44.

44楊引霞,謝康林,朱揚(yáng)勇,左子葉.電子商務(wù)網(wǎng)站推薦系統(tǒng)中關(guān)聯(lián)規(guī)則推薦模型的實(shí)現(xiàn).

計(jì)算機(jī)工程.2004,30(19):56.61

45

Lit.Xu

Y,LiYF.A

of

the

Frameworkfor2005

E—Commerce

Oriented

on

RecommendationSystems.Active

Proceedings2005:309-314.

InternationalConferenceMedia

Technology,

46左子葉,阮備軍,鄧愛(ài)林.OARs:一個(gè)開(kāi)放式電子商務(wù)推薦系統(tǒng)框架.計(jì)算機(jī)科學(xué).2003,

47

30(10):70—72.

QuanWen,Jianmin

2006.

He.PersonalizedRecommendationServicesBased

on

on

Service-Oriented

Architecture.Proceedingsofthe2006IEEEAsia-PacificConferenceServicesComputing,

48

Dahlen,B.J.,Konstan,J.L.,and

Riedl,J.Jump-starting

Movielens:User

BenufitsofStarting

TR98—017.1998.

CollaborativeFilteringSystemwith'‘DeadData'’.University

49

ofMinnesota

MarkoBalabanovicandYoavShoham.Fab:Content-Based,CollaboratibeRecommendation.CommunicationsoftheACM,1997,40(3).

50

Mobasher,B.,Dai,H.,and

Personalization.

In

Lou,T.Discovery

ofthe

AggregateUsage

Profilesfor

for

Web

Proceedings

of

Web

Mining

E-commerce

Workshop(WebKDD’2000),2000.

51

陶啟萍,基于Web數(shù)據(jù)挖掘的電子商務(wù)推薦系統(tǒng)研究.遼寧工程技術(shù)大學(xué)碩士學(xué)位論

文.2005:17.18.

Resnick,Varian.Recommendationsystems.CommunicationsoftheACM,1997,40(3):

56.58.

52

53

熊馨,王衛(wèi)平,葉躍祥.電子商務(wù)個(gè)性化產(chǎn)品推薦策略研究.科技進(jìn)步與對(duì)策.

2005.7:11.17

54馬輝民.周鳳林.電子商務(wù)下的柔性推薦系統(tǒng).武漢理工大學(xué)學(xué)報(bào).2007.2:10.1455裴蕾,基于Web數(shù)據(jù)挖掘的電子商務(wù)推薦系統(tǒng)研究.同濟(jì)大學(xué)碩士學(xué)位論文.2006:31,

35.3656

R.AgrawalandR.Srikant.FastAlgorithmsforMiningAssociationRules.InProc.ofthe20th

VLDBConference,pages

487-499,Santiago,Chile,1994

MiningTechniquesfor

and

Associations.Clustering

57

CharuC.AggarwaandPhilipS.Yu,Data

andClassification,PAKDD-99,Apirl,1999

58

Salton,G,andLesk,M.E.Computer

EvaluationofIndexingTextProcessing.Journalof

theAssociationforComputingMachinery,1996

59

Belkin,N.,andCroft,B.W:Information

Jiawei

Filtering

and

InformationRetrieval:TwoSidesof

theSameCoin.CommunicationsoftheACM,1992.

60

Han,MichelineKamber著.?dāng)?shù)據(jù)挖掘概念與技術(shù)(第二版).范明,孟小峰譯.機(jī)

.68-

參考文獻(xiàn)

械工業(yè)出版社.2007.3:149.161

61

Herlocker,J.UnderstandingandImprovingAutomated

Kohavi,R.ApplicationsofDataKnowledgeDiscovery.2001.

CollaborativeFilteringSystems.Ph.D.

Thesis,ComputerScienceDept,UniversityofMinnesota,2000.

62

Mining

toElectronic

Commerce.DataMiningand

63

Agrawal,R.,Imielinski,T.,andSwami,A.MiningAssociationinLargeDatabase.ProceedingsofACMSIGMOD,1993.

RulesbetweenSetsofItems

64

aarLJ.S.,Chert,M.S.,andY也P.S.AnEffectiveHash-basedAlgorithmforMiningAssociationRules.ProceedingsofACMSIGMODInternationalConferenceonmanagement

ofData,1995.

65

Bradley,P.S.,Fayyad,U.M.,andReina,C.ScalingClusteringAlgorithmstoLargeDatabases.ProceedingsoftheFourthInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD98),1998.

Lee,W:S.OnlineClusteringforCollaborativeFiltering.NationalUniversityofSingapore,

SchoolofComputingTechnicalReportTRA8/00,2000.

66

67

Chien,YH.,andGeorge,E.1.ABayesianModelforCollaborativeFiltering.Proceedingsof

theSeventhInternational

WorkshoponArtificial

Intelligence

and

Statistics,1999.

68

Chung,YM.,Pottenger,W.M.,and(DE?99),1998.

Schatz,B.1LAutomatic

SubjectIndexingUsingan

AssociativeNeuralNetwork.ProceedingsoftheACMConferenceonDistalLibraries

69

Heflocker,J。,Konstan,JA。,Borchers,A。,and

Riedl,J.AnAlgorithmicFrameworkfor

PerformCollaborativeFiltering.ProceedingsofSlGIR,1999.

70

Sarwar,B.,Karypis,G,KonstathJ.,andRiedl,J.AnalysisofRecommendation

forE.Commerce.ACM

Algorithms‘

Conference

on

ElectronicCommerce,2000.

Riedl,J.Application

ofDimensionanty

71

Sarwar,B.M.,Karypis,G,Konstan,J.A.,and

ReductioninRecommenderSystem—ACaseStudy.In,?2000;72

ACMWeb

KDD2000

Workshop,

Wolf,J,Aggarwal,C.,W|u,K-L.,and

ApproachConference

to

on

Yu,PHortingHatches

Proceedings

of

an

Egg:ANewGraph-Theoretic

Collaborative

Filtering.In

ACMSIGMODInternational

KnowledgeDiscovery&DataMining,1999.

73余力,董斯維,郭斌.電子商務(wù)推薦攻擊研究.計(jì)算機(jī)科學(xué).2007,(5):57-63

74

Agrawal,R.,andShafer,J.ParallelMiningofAssociationRules:Design,Implementation,andExpedence.TechnicalReportFJ10004,IBMAlmadenResearchCenter,1996.Savasere,A.,Omiecinski,E.,andNavathe,S.An

Efficient

75

AlgorithmforMiningAssociation

on

RulesinLargeDatabases.Proceedingsofthe21stInternationalConferenceDatabase,1995.76

VeDrlarge

Toivonen,H.SamplingLargeDatabasesforAssociationRules.Proceedingsofthe22rd

IntemationalConference

77

on

Ve巧LargeDatabase,1996.

Lin,J.L.andDunham,M.H。MiningAssociationRules:Anti-skewalgorithms。ProceedingsoftheInternationalConferenceonDataEngineedng,1998.

Han,J.,Pei,J.,andⅥ璣YMiningFrequentPatternswithoutCandidateGeneration.InProc.2000ACM—SIGMODInternational.ConferenceonManagementofData,2000.Cohen,M.,Datar,,M.,andFujiwara,F.FindingInterestingAssociationswithoutPruning.InIEEETransactionsonKnowledgeandDataEngineering,2001.

Support

78

79

80

Claypool,M.,Le,只Waseda,M.,andBrown,D.ImplicitInterestIndicators.InProceedingsofACMIntelligentUserInterfacesConference(IUI).2001.

.69-

北京工業(yè)大學(xué)管理學(xué)碩十學(xué)位論文

8l周洋.個(gè)性化推薦系統(tǒng)推薦引擎原型系統(tǒng)研究.對(duì)外經(jīng)濟(jì)貿(mào)易大學(xué)碩士學(xué)位論文.2006:

2.3

82GuoruiJiang,Hai

Associative

Qing,Tiyun

Huang.APersonalizedRecommendationAlgodthmBased

Conference

on

on

Sets.International

InformaticsandSemioticsin

Organizations(ICIS02009),Beijing,2009.4:190-195.

Sarwar,B.,Karypis,G,Konstan,J.,and

Riedl,J.

Itembased

Collabormive

Filtering

RecommendationAlgorithms.In:ProceedingsoftheTenthInternationalWorldWide

WebConference,2001:285?295.

848586

曹軍威,范玉順.柔性軟件系統(tǒng)的概念、方法與實(shí)踐.計(jì)算機(jī)科學(xué).1999,(2):74.77.

李安波等.柔性軟件系統(tǒng)研究與應(yīng)用.計(jì)算機(jī)應(yīng)用研究.2005。(1):140.143.

蔣國(guó)瑞,青海,黃梯云.一種柔性電子商務(wù)推薦系統(tǒng).計(jì)算機(jī)應(yīng)用研究.2009.3:930—932.

.70.

攻讀碩士學(xué)位期間所發(fā)表的學(xué)術(shù)論文

攻讀碩士學(xué)位期間所發(fā)表的學(xué)術(shù)論文

12

蔣國(guó)瑞,青海,黃梯云.一種柔性電子商務(wù)推薦系統(tǒng).計(jì)算機(jī)應(yīng)用研究.2009.3:930—932.

GuoruiJiang,HalAssociative

Qing,Tiyun

Huang.APersonalizedRecommendationAlgorithmBased

Conference

on

SetS[C】.International

on砌ormatics

andSemioticsin

Organizations(ICIS02009).2009.4:190-195.

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