文章基本信息

标题：Individualized Travel Recommendation by Mining People Ascribes and Travel Logs Types from Community Imparted Pictures
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作者：S.Saranya ; S.Sivaranjani ; G.Surya 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：1685-1687
出版社：TechScience Publications
摘要：Leveraging community imparted data for personalized recommendation is one of the active research problems since there are rich contexts and human activities in such explosively growing data. We focus on personalized travel recommendation and show promising applications. We conduct personalized travel recommendation by considering specific user profiles or attributes. We propose a personalized travel recommendation model considering users’ attributes as well as their group types and the knowledge mined from travel logs .We investigate the association of people attributes such as time, popular landmarks, etc., We also recommend the nearby location suggestions in mobile using android
关键词：data; travel recommendation; location suggestions