期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：12
页码：22710
DOI：10.15680/IJIRSET.2017.0612086
出版社：S&S Publications
摘要：On web big data are increases in both industrial and research area such as health care, financial servicesand commercial recommendation. The personalized travel recommendation work on user’s personal requirements,community-contributed photos and heterogeneous metadata related this photo. The existing system cannot work on theuser’s requirements and cannot automatically mine user travel interest. The personalized travel sequence map bothusers and routes textual descriptions to the topical package space to get user topical package model and route topicalpackage model. Topical package space including representative tags, distribution of cost, visiting time and visitingseason of each topic. We used the Facebook data to find out the user’s point of interests. To recommend personalizedPOI sequence first find out the famous routes are rank according to the similarity between users package and routepackage.
关键词：Check-in;geo-tagged photos; GPS;social media; multimedia information retrieval. Online interest;Travel recommendation.
