摘要
普适环境下经常会出现多个用户一起活动的情形,群体用户建模技术可以有效支持针对群体用户的个性化服务。对普适环境下的群体建模需求进行了分析,并讨论了个体兴趣模型及群体兴趣模型的定义和形式化描述。重点给出了一种基于痛苦避免、兴趣满足和公平三者均衡下的兴趣融合算法,最后在一种应用场景下给出实验,并对实验结果进行了分析和讨论。
People usually tend to take activities in groupsl the group modeling technology can support personality services towards group people effectively. This paper analysed the requirement of group modeling in the pervasive environment,then discussed the definition and formalization of the individual and group preference model. Emphatically, this paper presented an algorithm which is based on the least misery, the pleasure satisfying, and the fairness. To proof our algorithm,we designed an experiment,and discussed the result of it.
出处
《计算机科学》
CSCD
北大核心
2009年第5期225-228,共4页
Computer Science
基金
国家863高技术研究发展计划基金项目(2006AA01Z198)
教育部博士点基金新教师课题(20070699014)
西北工业大学科技创新基金项目(2006CR13)
西北工业大学研究生创业种子基金(200858)资助
关键词
普适计算
群体建模
兴趣融合
个性化服务
Pervasive computing, Group modeling, Interest merging algorithm, Personalized service