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1、上海交通大学硕士学位论文智能推荐系统中协同过滤算法的研究姓名：张雪文申请学位级别：硕士专业：计算机技术指导教师：马范援;岑詠霆20080901上海交通大学工程硕士学位论文ABSTRACTTHERESEARCHONCOLLABORATIVEFILTERINGALGORITHMINARTIFICIALRECOMMENDATIONSYSTEMABSTRACTCollaborativeFilteringAlgorithmaimedatthemainchallengesofrecommendationsystemsinE-Comme
2、rce,thisdissertationexploredandresearchedsomekeytechnologiesofrecommendationsystemsinE-Commerce.Themainresearchresultsofthisthesisareasfollows:1．Thedissertationanalyzedthreeexistingcollaborativefilteringmodifiedalgorithms,andfoundtheirproblems:(1)DCRecalgorithmsco
3、uldefficientlyovercometheextremesparsityofuserratingdata,buttheaccuracyofitsrecommendationswillhaveacertaindecline.(2)IRPRecalgorithmsprovidesbetterrecommendationresultsthantraditionalCFalgorithms.Butthereal-timealgorithmisnothigh,cannotbegoodtomeettherecommendeds
4、ystemperformancerequirements.(3)Item-clustering-basedcollaborativefilteringalgorithmcouldefficientlyimprovethereal-timeresponsespeedofrecommendationsystems,butrecommendedonlyontheaccuracyofintelligencewiththetraditionalmethodisrecommended.2．Throughanalyzingtheprob
5、lemsofthemodifiedalgorithms,thisdissertationresearchedcurrentmainstreamtechniqueinpersonalizedrecommendation,collaborativefiltering.Onthebaseofintroducing“concepthierarchy”and“communityfiltering”techniques,thedissertationmodifiedcollaborativefilteringalgorithmname
6、d“concepthierarchy”collaborativefilteringalgorithm.Wedoimitationexperimentonimprovedalgorithmsproposedbythedissertation,throughexperiment’svalidation,theimprovedcollaborativefilteringalgorithmsbasedonconcepthierarchyarebetterthantraditionaloneintheaspectofveracity
7、,integrality,diversityinrecommendation,especiallyinsparseconsumerratingdatasets,theimprovedonesbehavefavorablerecommendationperformance.Keywords：e-commerce,recommendersystem,collaborativefilteringrecommendationalgorithm,concepthierarchyII上海交通大学学位论文原创性声明本人郑重声明：所呈交的
8、学位论文，是本人在导师的指导下，独立进行研究工作所取得的成果。除文中已经注明引用的内容外，本论文不包含任何其他个人或集体已经发表或撰写过的作品成果。对本文的研究做出重要贡献的个人和集体，均已在文中以明确方式标明。本人完全意识到本声明的法律结果由本人承担。学位论文作者签名：张雪文日期：年月日上海交通大学学
