简介:SocialtaggingisoneofthemostimportantcharacteristicsofWeb2.0services,andsocialtaggingsystems(STS)arebecomingmoreandmorepopularforuserstoannotate,organizeandshareitemsontheWeb.Moreover,onlinesocialnetworkhasbeenincorporatedintosocialtaggingsystems.AsmoreandmoreuserstendtointeractwithrealfriendsontheWeb,personalizeduserrecommendationserviceprovidedinsocialtaggingsystemsisveryappealing.Inthispaper,weproposeapersonalizeduserrecommendationmethod,andourmethodhandlesnotonlytheusers'interestnetworks,butalsothesocialnetworkinformation.Weempiricallyshowthatourmethodoutperformsastate-of-the-artmethodonrealdatasetfromLast.fmdatasetandDouban.