简介:SocialtaggingisoneofthemostimportantcharacteristicsofWeb2.0services,andsocialtaggingsystems(STS)arebecomingmoreandmorepopularforuserstoannotate,organizeandshareitemsontheWeb.Moreover,onlinesocialnetworkhasbeenincorporatedintosocialtaggingsystems.AsmoreandmoreuserstendtointeractwithrealfriendsontheWeb,personalizeduserrecommendationserviceprovidedinsocialtaggingsystemsisveryappealing.Inthispaper,weproposeapersonalizeduserrecommendationmethod,andourmethodhandlesnotonlytheusers'interestnetworks,butalsothesocialnetworkinformation.Weempiricallyshowthatourmethodoutperformsastate-of-the-artmethodonrealdatasetfromLast.fmdatasetandDouban.
简介:本文研究了Mg2+—溴邻苯三酚红(BPR)—溴化十六烷基三甲基氯化铵(CTMAB)的显色反应,探讨了Mg2+—BPR—CTMAB体系的最佳测定条件。实验表明Mg2+—BPR—CTMAB体系的最佳pH=9—10,λmax=680nm,ε=1.3×104L·mol-1·cm-1,镁量在0—80μg/50mL内符合比尔定律,该法用于测定铝合金中镁获得满意的结果。