基于情境历史的移动用户偏好挖掘研究  

Mobile User Preferences Mining System Based on Context History

作　　者：刘启华[1] 

机构地区：[1]江西财经大学信息管理学院,南昌330013

出　　处：《图书情报工作》2012年第20期68-73,共6页Library and Information Service

基　　金：江西省自然科学基金项目"泛在环境下基于情境感知和社会过滤的混合推荐模型与实现"(项目编号:20122BAB211024)研究成果之一

摘　　要：提出一个移动互联网环境下用于个性化信息服务的基于情境历史的移动用户偏好挖掘方法,并构建移动旅游信息推荐原型系统CAMTRS。实验结果显示:该方法能较好地获取移动互联网环境下用户的需求偏好,有助于改进个性化推荐系统的预测效果。This paper proposed a context-aware system framework for proactive personalized mobile networking applications based on user models utilizing the context history. Based on the proposed framework, this paper presented a system called CAMTRS, which was an context-aware mobile tourism recommender system that serves a tourist with information needed in his specific context that are interesting to him given his goal for that moment. From experiment and evaluation, the proposed framework is a promising approach to pro- vider proactive personalized services to mobile users.

关 键 词：情境历史 情境感知 移动互联网 用户偏好 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]