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基于多Agent技术的图书推荐系统研究.docx

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基于多Agent技术的图书推荐系统研究 Abstract WiththerapiddevelopmentofinformationtechnologyandtheInternet,thetraditionalbookrecommendationsystemhasgraduallyfacedvariouschallenges.Inordertoimprovetheaccuracyandefficiencyofbookrecommendation,thispaperproposestheuseofmulti-agenttechnologytodevelopabookrecommendationsystem.Thesystemusesmulti-agentcollaborationtocollectuserinformationandpreferences,thenanalyzesthedatausingcollaborativefilteringalgorithmtogeneratepersonalizedbookrecommendationsforeachuser.Theexperimentalresultsshowedthatthissystemhashighaccuracyandefficiencyinrecommendingbookstousers,andhasconsiderablepracticalvalue. Introduction WiththerapiddevelopmentoftheInternetandinformationtechnology,anenormousamountofdataisgeneratedeveryday.Findingvaluableinformationfromthemassivedataisachallenge,especiallywithregardstothefieldofbookrecommendation.Thetraditionalbookrecommendationsystemoftenreliesonuserratingsorrequests,anditisnotapersonalizedandefficientsystem.Inrecentyears,multi-agenttechnologyhasbeenappliedtovariousfieldsandachievedgreatsuccess.Byusingmulti-agenttechnology,thebookrecommendationsystemcancollectmoreaccurateuserdataandprovidemorepersonalizedrecommendations. Thispaperproposestheuseofmulti-agenttechnologytodevelopabookrecommendationsystem.Thesystemisbasedonthecollaborativefilteringalgorithm,whichhasbeenusedinmanyrecommendationsystems.Thisalgorithmhasproveneffectivenessinpredictinguserpreferencesbyanalyzingsimilarusersandtheirpreferences.Intheproposedsystem,eachagentisresponsibleforcollectingandanalyzinguserinformationandpreferences,andthengeneratingrecommendations.Differentagentsworktogethertoformthecompletesystem,whichcanprovideamoreaccurateandpersonalizedbookrecommendationserviceforusers. Multi-AgentTechnologyforBookRecommendation Multi-agenttechnologyisadistributedcomputingtechnology,whichsimulatestheinteractionandcooperationbetweenagentsinavirtualenvironment,andcompletescomplextasksbydividingthemintosmallersub-tasks.Inthebookrecommendationsystem,eachagentcanbecon