计算机科学 ›› 2015, Vol. 42 ›› Issue (9): 33-36.doi: 10.11896/j.issn.1002-137X.2015.09.007
屈弘扬,於志文,田苗,郭斌
QU Hong-yang, YU Zhi-wen, TIAN Miao and GUO Bin
摘要： 随着智能移动设备的发展和普及,空间定位技术不断成熟,基于位置的社交网络(Location-based Social Network,LBSN)得到了广泛应用。大量用户在LBSN签到,以及针对签到进行的评论不仅记录了用户的时空行为轨迹,也为研究用户行为模式和特征偏好提供了巨大的机会。提出一种基于LBSN签到数据的商业店铺选址推荐系统,首先分析用户在LBSN上的签到时间、签到地点、签到商铺类型3个方面的特征；然后提出4个影响商铺选址的因素:多样性、竞争性、相关性和客流性；最后实现商业选址推荐系统,并根据选址因素生成最优候选。并以此为基础进行相关实验来验证推荐结果,结果符合相关预期。
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