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ID:34004670
大小:1.96 MB
页数:46页
时间:2019-03-03
《个性化网络教学资源系统的构建的研究》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、AbstractWiththedevelopmentofInternet,ithasbecomeanimportantwaytoobtaininformation.Usershavetheexponentialgrowthofresources.Butithasbecomeincreasinglyhardtofindtheinformationtheywant.Basedonthis,thedevelopmentandutilizationofpersonalizedrecommendationtechnology
2、isagoodsolutiontosolveinformationoverload.Personalizedrecommendationisakindofnewintelligentinformationservice.Accordingtoanalyzingtheirrequirementsbyuser’sregisterandhistoryofbehavior,personalizedrecommendationcanaccuratelyprovidetheinformationusersareinterest
3、edin.Toacertainextent,personalizedrecommendationsolvestheinformationlostandinformationoverloadwhichbroughtaboutvariousproblems.Withthedevelopmentofpersonalizedrecommendationtechnologyresearch,popularizationandapplicationofthepersonalizedrecommendationsystemisb
4、ecomingtheresearchhotspots.Asanintegralpartofinformationtechnology,teachingresourcesplayanimportantroleineducation.Atpresent,networkteachingresourcesystemstypicallyprovidethesameresourcestouser.Butusers’havedifferentinterestsandhobbies.Thatisindividualdifferen
5、ces.Theexistingnetworkteachingresourcessystemcannotmeetuser'spersonalizedneeds.Therefore,inordertoachievethegoalofpersonalizedservicetomeetuser,personalizedrecommendationtechnologyisappliedtothesystemofonlineteachingresources.Throughanalyzingandcomparingalotof
6、literatureresearch,combiningthecontent-basedandcollaborativefilteringofpersonalizedrecommendationalgorithmcanhelpusersidentifypotentialhobbiesandmakerecommendations.Itcanhelpusersquicklyfindthattheyneedinalargenumberofinformationresourcesandmeetusers’demandfor
7、personalizedservice.Asaresult,thisarticleusescombinationofthecontent-basedandcollaborativefilteringrecommendationtorecommendpersonalizedteachingresources.First,thepaperdescribestheproblemsofthecurrentnetworkofteachingresourcesandtheresearchstatusoftheindividua
8、lizedteachingservices.Thenthekeytechniquesofpersonalrecommendationtechnologyandusermodelingareintroduced.Second,personalrecommendationalgorithmisthecoreofpersonalizedrecommendation
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