移动社交网络中用户上下文的自动识别与共享  

Automatic identification and sharing of user's context in mobile social network

作　　者：朱雪彤[1] 王永利[2] 

机构地区：[1]佳木斯大学理学院,黑龙江佳木斯154007 [2]南京理工大学计算机科学与工程学院,江苏南京210094

出　　处：《南京理工大学学报》2013年第4期500-505,共6页Journal of Nanjing University of Science and Technology

基　　金：国家自然科学基金(61170035);江苏省"973"计划(BK2011022);江苏省自然科学基金(BK2011702);江苏省高校2010年"青蓝工程"优秀青年骨干教师项目;佳木斯大学科研项目(L2012-040)

摘　　要：为了在移动环境中高效地识别和共享活动、情感和用户关系等高层次上下文,该文提出了一种基于贝叶斯网络的移动上下文共享系统,利用基于移动日志的贝叶斯网络自动地识别用户的活动及感情等高层次的上下文,并便于用户查看与共享。贝叶斯网络评估和软件测试实验证明了该系统的有效性,该系统可构建移动社交网络,为用户提供实时的电话簿和地理位置的社交共享服务,可广泛应用于电信行业增值服务、电子商务营销等领域。In order to identify and share high-level context activities in the mobile environment efficiently,such as emotional and client relationships,this paper proposes mobile context sharing systems based on Bayesian networks.This system automatically identifies the user ' s high-level context based on the Bayesian network from the mobile log,and support the user-friendly viewing and sharing.Experiments on Bayesian network assessment and software test prove the effectiveness of the system proposed here.The system can build mobile social networks to provide real-time social sharing service for users by telephone directory and the location.It can be widely used in the telecommunications industry value-added services and e-commerce marketing.

关 键 词：移动社交网络 上下文识别 贝叶斯网络 自动识别 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]