摘要
为了缓解日益严重的"移动信息过载问题",移动用户偏好学习已成为个性化服务领域的首要问题。对最近几年移动网络服务中用户偏好学习技术的研究进展进行综述,对移动用户偏好的表示方法、获取技术、自适应学习方法、评价方法等进行前沿概括、比较和分析。最后对移动网络服务中用户偏好学习技术的发展方向和趋势进行展望。
Recently, in order to alleviate the problem of ＂mobile information overload＂, the learning of mobile user pref- erences has become a new hotspot of rese^ch in the personalized services. The research progress of learning mobile user preferences were sumrnaried in recent years. The representation, acquisition method, adaptive learning, evaluation about learning mobile user preferences were contrasted and analyzed. Finally, some future directions and development trends of learning mobile user preferences in the mobile network service were pointed out.
出处
《通信学报》
EI
CSCD
北大核心
2013年第2期147-155,共9页
Journal on Communications
基金
国家自然科学基金资助项目(60872051)
北京市教育委员会共建专项基金资助项目~~
关键词
移动网络服务
移动用户偏好
偏好获取
偏好自适应
个性化服务
mobile network services
mobile user preferences
preference acquisition
preference adaptation
personalized service
