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.
出处
《安徽工程大学学报》
CAS
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)
关键词
智能空间
普适计算
推荐
上下文感知
smart space
pervasive computing
recommendation
context-aware
