文章基本信息

标题：Automated Adaptive and Sequential Recommendation of Travel Route
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作者：Swaroopa V Dugani ; Dr. Sunanda Dixit
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：46
期号：2
页码：90-94
DOI：10.14445/22312803/IJCTT-V46P118
出版社：Seventh Sense Research Group
摘要：Big data has deeply rendered into both research and commercial fields such as health care, business and banking sectors. Automated Adaptive and Sequential Recommendation of Travel Route handovers automated and adaptive travel sequence recommendation from large amount of travel data. Unlike any other travel recommendation methods, this method is not only automated but it is personalized to user’s travel interest and also it is able to recommend a travel sequence rather than individual Points of Interest (POIs). This method has large amount of travel data which includes different places, the distributions of cost, visiting time and visiting season of each topic is mined to bridge the gap between user travel preference and travel routes and we also have topical package space. In order to get extensive impression and much better view points of the user topical package model and user travel route, we have made use of the community contributed photos in addition to travel data.
关键词：Points of Interest (POIs); TopicalPackage Space; Community Contributed Photos; User Topical Package; GPS; DFD; BTV.