欢迎来到天天文库
浏览记录
ID:33889598
大小:818.64 KB
页数:54页
时间:2019-03-01
《个性化门户的信息服务方式研究》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、AbstractAbstractWiththeincreasinglyrichofinformationresourcesontheInternet,theneedsofnetworkusersarebecomingmorepersonalized.ThetraditionalmodeofInternetuserstoprovideavarietyofinformationresourcesinanintegratedmannercannotmeettheneedsofmostusers.Personalizedpor
2、talisaproductthatintegratedtheinformationandservicesonInternet,usercanusethepersonalizedportaltocustomizetheirowninformationandservices,customizeusefulgadgets.ThepersonalizedportalasachannelthatuserscanaccesstotheInternetresources.Withtheadvancesofinformationtec
3、hnologyandtheimprovementofthenetworkenvironment,thepersonalizedportalservicemodealsoneedtochange,soweneedtoanalyzetheircurrentsituationandfuturedevelopment.Thisarticlefirstdescribesthebackgroundofthepersonalizedportal,aswellasthesignificanceoftheresearchonperson
4、alizedinformationserviceportal,followedbyabriefdescriptionofthedevelopmentandapplicationofrelatedresearchaboutpersonalizedportalandinformationservicesathomeandabroad.Secondlyarticlesrelatedtothetheoreticalbasisanditsrelatedtechnologies.Atlastsummarizedthepersona
5、lizedportalthreemaintypesofinformationservices,informationaggregationservices,SaaSservicesandpersonalizedrecommendationservicesandforecastedthefuturedirectionofdevelopment.Basedonalargenumberofexamplesandliteratureresearch,thisessaysummarizedandanalyzedtheperson
6、alizedportalservicesystem.Severalmajorpersonalizedportalaggregationservicefeaturesanddeficienciesweresummarized.SaaSservicesinapersonalizedportalcontentorthetypeofapplicationmoduleswereintroducedandanalyzed,personalizedrecommendationservicewerecustomized,intelli
7、gentrecommendationsandsocialnetworkingthreelevelswereanalyzed.Finally,accordingtothepersonalizedportalapplicationsandcurrentnetworkenvironment,writerpredictedthatthesocialaggregationservice,cloudservicesandcross-cuttingpersonalizedrecommendationservicewillbeoneo
8、fthewaysthatthepersonalizedportalinformationservicescanuseinthefuture.KeywordsPersonalizedPortalInformationservicesInformationaggregationSaaSPersonalizedrecommendatio
此文档下载收益归作者所有