{"title":"Management of Ambient Media Preferences in Distributed Environments for Service Personalization","authors":"M. A. Hossain, P. Atrey, Abdulmotaleb El Saddik","doi":"10.1109/I-SPAN.2008.33","DOIUrl":null,"url":null,"abstract":"Due to the increasing need for service personalization in pervasive environments, the management of user's contextual media preferences becomes an important issue. In this paper, we present a framework for managing ambient preferences, which is a continuously updated set of attributes reflecting user's need and expectations for different media services in different contexts. These attributes are dynamically collected and updated based on the interactions of the users in distributed environments. The proposed framework provides mechanisms to store and share these preferences in order to provide personalized services to the user according to the different contextual situations. We demonstrate the development of the framework, its implementation and usage in distributed environment settings.","PeriodicalId":305776,"journal":{"name":"2008 International Symposium on Parallel Architectures, Algorithms, and Networks (i-span 2008)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Parallel Architectures, Algorithms, and Networks (i-span 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SPAN.2008.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Due to the increasing need for service personalization in pervasive environments, the management of user's contextual media preferences becomes an important issue. In this paper, we present a framework for managing ambient preferences, which is a continuously updated set of attributes reflecting user's need and expectations for different media services in different contexts. These attributes are dynamically collected and updated based on the interactions of the users in distributed environments. The proposed framework provides mechanisms to store and share these preferences in order to provide personalized services to the user according to the different contextual situations. We demonstrate the development of the framework, its implementation and usage in distributed environment settings.