计算机工程与应用Issue(8)：117-122,6.DOI:10.3778/j.issn.1002-8331.1409-0181
基于LBSN好友关系的个性化景点推荐方法
Personalized travel recommendation technology based on friendship of LBSN
摘要
Abstract
Photos in Location-Based Social Networks(LBSN)include rich time and space location information, which provides conditions for exploring user preference information and attraction recommendations. The existing recommenda-tion methods have many problems such as single recommended conditions, difficulty on estimation of user preference, low accuracy of recommendations. For those problems, PTLR method is proposed to improve the traditional method. Experimental results on LBSN real data show PTLR can effectively improve the recommendation accuracy.关键词
个性化推荐/基于位置的服务/协同过滤/社交网络/关联推荐Key words
personalized recommendation/location-based service/collaborative filtering/social networks/association recommendation分类
信息技术与安全科学引用本文复制引用
刘艳,潘善亮..基于LBSN好友关系的个性化景点推荐方法[J].计算机工程与应用,2015,(8):117-122,6.基金项目
浙江省自然科学基金（No.LY12F02020）；宁波市自然科学基金（No.2012A610066）。 （）
