期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：4
页码：7094
DOI：10.15680/IJIRCCE.2017.05040102
出版社：S&S Publications
摘要：The recommendation system is applying in many applications. This paper provides the personalizedtravel package suggestion to tourists for the best course of travel. But traditional recommendation system cannotprovide better travel package to tourists from various geographic locations. Many technical challenges are available fordesigning and implementation of efficient travel package recommendation system. We propose a new model named astourist-area-season topic model which extracts the features like locations, travel seasons of various landscapes. Thus itrepresents the content of the travel packages and interests of tourists. Also, introducing a recommendation approach forbetter personalized travel package recommendation. Further extending TAST model with the tourist-relation-areaseason topic model includes relationship among the tourists. Eventually our proposed approach is efficient to givebetter package recommendation for tourists. The proposed approach involves mining significant tourist locations basedon the geo-tagged photos of users on social media sites.
