欢迎来到天天文库
浏览记录
ID:34019690
大小:3.09 MB
页数:79页
时间:2019-03-03
《关于协同过滤推荐技术的学习资源个性化推荐系统的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、浙江工业大学硕士学位论文THERESEARCHOFPERSONALIZEDRECOMⅣ匝NDATIONOFLEARNINGRESOURCESBASEDONCOLLABORATIVEFIIJERINGRECOMMENDATIONTECHNOLOGYABSTRACTE—learninghasbecomealleffectivewaytocarryoutstafftraining.Currently,manylargeenterprisesbuilde—learningplatformintheircorporateintr
2、anetorontheInteract.Witlltheapplicationofe-learningpracticein-depth,thenumberoflearningresourcesine-learningplatformisgrowingrapidly,resultinginthatthelearnersneedspendalotoftimeandefforttoretrievetheplatformandgetlearningresourcestomeettheirownneeds,orevencanno
3、tfindlearningresourcestheywant.Byanalyzingnumbersofenterprises’e-learningwebsites,wefoundthereareseveralcommonwaysoflearningresourcespushingine-learning:suchasTop-N,querywithkeywords.Alloftheabovewayscanhelplearnersfindlearningresourcestosomeextent,tomeettheirne
4、eds,butcannotpushpersonalizedlearningresourcestolearners.Therefore,howtopushlearningresourcesproactiveandmeettheneedsofeachlearnerbecomesoneofthethemesofeducationaltechnologyresearchersstudy.First,thispaperanalyzesandresearchesthecollaborativefilteringtechnology
5、andalgorithmswhichhasbeensuccessfullyappliedine-commerce,thensummarizestheshortcomingsofthealgorithm,andintroducesseveraltypicaloptimizationalgorithmstoaddresstheseissues.Secondly,thepaperproposesasolutionusingtheContentFilteringtechnologyandRatingPredictionAlgo
6、rithmtosolvethedatasparseandcold-startproblemofcollaborativeⅢ浙江工业大学硕士学位论文filteringalgorithms.Atthesametime,buildallimplicitlearningscoringmodelbasedonusel笃’behavior.Weobtainanoptimizedalgorithmthroughintegratingallofalgorithmsabove.Finally,buildapersonalizedreco
7、mmendationmodeloflearningresourcesbasedontheoptimizedalgorithmabove.ThemodelispresentedthroughtheknowledgebasemoduleoftheinformationplatformforsmallandmediumenterprisesinZhejiangProvince.Thisstudyeasesthesparsedataandcoldstartproblemsofcollaborativefilteringalgo
8、rithmstoacertainextent,buthasnotaddresseditcompletely.Byintroducingthecollaborativefilteringalgorithmstothee-learning,webringitintoanewapplicationarea.Itwillinspiremo
此文档下载收益归作者所有