景区智能空间下的实时景点推荐技术  

Real-time attractions recommendation in scenic smart space

作　　者：皇苏斌[1] 王忠群[1] 

机构地区：[1]安徽工程大学计算机与信息学院,安徽芜湖241000

出　　处：《安徽工程大学学报》2011年第4期61-63,67,共4页Journal of Anhui Polytechnic University

基　　金：安徽省自然科学基金资助项目(070412058)

摘　　要：针对景区景点推荐不能满足游客个性化及实时性的要求,在景区智能空间条件下提出一种实时景点推荐技术,该技术通过上下文感知来获取动态信息,结合景点实时个性化推荐算法为游客提供景点推荐服务.通过实验说明所提出的实时景点推荐技术的可行性.Aiming at the face that the scenic spots recommendation can not meet the requirements of tourist personalization and real-time, under the condition of scenic smart space, a real-time attractions recommendation technique was presented. It gets dynamic information through context awareness, and an attractions recommendation algorithm is given for the real-time recommendation and service. Finally, experimental resuh：s show that the real-time scenic spot recommendation algorithm is feasible and effective.

关 键 词：智能空间 普适计算 推荐 上下文感知 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]