移动设备的个性化推荐在上下文感知应用  

Personalized recommendation of mobile devices in Context-aware Application

作　　者：徐月美[1] 姜薇[1] 王溢策[1] 

机构地区：[1]中国矿业大学计算机科学与技术学院,江苏徐州221116

出　　处：《微计算机信息》2009年第21期186-187,181,共3页Control & Automation

摘　　要：个性化推荐对上下文感知系统具有广泛而重要应用,现在大多数个性化推荐系统很少考虑用户的认知风格。文中比较了场独立用户和场依赖用户在上下文感知环境中所存在的差异,提出一种基于用户认知风格的个性化推荐系统(CSBRS)。通过CSBRS的实现例子,表明基于用户认知风格的个性化推荐有助于提高个性化推荐的质量。Personalized recommendation is an important application of context-aware system and is being used widely. However, in most existed systems, there are few applications that consider the user＇s cognitive style before they make recommendation. We com- pare the field dependence user with field independence user in context-aware environment and propose a new way for personalized recommendation in context-aware system which named Cognitive Style Based Recommendation System （CSBRS）. We propose an ex- ample of the implementing of CSBRS and come to a conclusion that CSBRS has the ability to improve the quality of personalized rec- ommendation.

关 键 词：上下文感知系统 个性化推荐 认知风格 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]