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1、ImmunizingOnlineReputationReportingSystemsAgainstUnfairRatingsandDiscriminatoryBehaviorChrysanthosDellarocasSloanSchoolofManagementMassachusettsInstituteofTechnologyRoomE53-315,Cambridge,MA,02139,USA+1(617)258-8115dell@mit.eduABSTRACTencouragesbothpartiesofeachtransactio
2、ntorateoneanotherwitheitherapositive(+1)oranegative(-1)rating.eBaymakesReputationreportingsystemshaveemergedasanimportantriskthecumulativeratingsofitsmemberspubliclyknowntoeverymanagementmechanisminonlinetradingcommunities.However,registereduser.thepredictivevalueofthese
3、systemscanbecompromisedinsituationswhereconspiringbuyersintentionallygiveunfairDespitetheirwidespreadadoptionandundeniableimportance,ratingstosellersor,wheresellersdiscriminateonthequalityofverylittleworkhasbeenpublishedsofaronthereliabilityofservicetheyprovidetodifferen
4、tbuyers.Thispaperproposesandvariousreputationmechanismsand,evenmoreimportantly,onevaluatesasetofmechanisms,whicheliminate,orsignificantlywaysinwhichthesemechanismscanbecompromised.Somereducethenegativeeffectsofsuchfraudulentbehavior.ThenotableexceptionsincludetheworkofFr
5、iedmanandResnick[2],proposedmechanismscanbeeasilyintegratedintoexistingonlinewhichdiscussesrisksrelatedtotheeasewithwhichonlinereputationsystemsinordertosafeguardtheirreliabilityinthecommunityparticipantscanchangetheiridentity.Theyconcludepresenceofpotentiallydeceitfulbu
6、yersandsellers.thattheassignmentofthelowestpossiblereputationvaluetonewcomersisaneffectivemechanismfordiscouragingKeywordsparticipantstomisbehaveandsubsequentlychangetheiridentity.Electronicmarkets,reputationmechanisms,onlinefraud,trust.Zachariaet.al.[8]proposeaspecificd
7、esignforareputationmechanismandtouchuponsomeofthereliabilitydesiderata,butdonotattemptanexhaustiveevaluationoftheirproposeddesign1.INTRODUCTIONagainstsuchrisks.Theproductionoftrustisanimportantrequirementforformingandgrowingopenonlinetradingcommunities.ThelackofaThispape
8、raimstocontributeintheconstructionofmorerobustcommonhistorywithpotentialtradingpartnersaswellastheonlin
