文章基本信息

标题：Intelligent Tour Planning System using Crowd Sourced Data
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作者：Md. Saef Ullah Miah ; Md. Masuduzzaman ; Williyam Sarkar 等
期刊名称：International Journal of Education and Management Engineering(IJEME)
印刷版ISSN：2305-3623
电子版ISSN：2305-8463
出版年度：2018
卷号：8
期号：1
页码：22-29
DOI：10.5815/ijeme.2018.01.03
出版社：MECS Publisher
摘要：To observe the beauty of nature and to visit various places around the world, a vast number of tourists visit different countries and many tourist attraction sites now-a-days. But Most of the tourist places have failed to introduce itself as a tourist destination to the visitor due to lack of proper information and proper guideline to visit there. This paper tries to focus on some problems in the tourism industry and try to solve those problems using crowd sourced data with some customized algorithms. Some of the main problems are the lack of information about a destination tourist spot, combination on budget to visit the spot, time of travels etc. We proposed a customize algorithm which will provide maximum suggestion to visit a place with nearest all sub place based on user destination within their given budget and time. Using our method, user can choose the most suitable plan for them to visit those places.
关键词：Data Crowdsourcing;Tourist;BFS;DFS;Dijkstra;Tour Planner;Route Suggestion