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An innovative tour recommendation system for tourists in Japan

机译：日本游客的创新性旅游推荐系统

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The paper demonstrates prototype of system that is capable of suggesting optimal touring plans which are composed of various points of interest (POI) and take travelers' preferences and context into account. It systematically collects and analyzes information on thousands of tourists attraction areas and geographical nodes of Japan Railway (JR) train stations together with concurrent weather information, estimated travel time, associated expenses, and lists of multiple cultural events in order to demonstrate practicality as well as reliability of the system. A programmatic approach based on the heuristic greedy search is employed for transforming the obtained data into informative routes. It demonstrates the feasibility of the approach through its mobile prototype on web platform and tests it under various scenarios in eight different places in Japan which includes Tokyo, Osaka, Kyoto, Kobe, Yokohama, Nagoya, Fukuoka and Sapporo. Its result and the performance can be considered as a stepping stone towards a more localized and practical recommendation system in the field of tourism in the near future.
机译：本文演示了该系统的原型，该原型能够提出由各个兴趣点（POI）组成并考虑旅行者的喜好和环境的最佳旅行计划。它系统地收集和分析有关日本铁路（JR）火车站的数千个旅游胜地和地理节点的信息，并同时提供天气信息，估计的旅行时间，相关费用以及多种文化活动的清单，以证明实用性和实用性。系统的可靠性。采用基于启发式贪婪搜索的程序化方法，将获得的数据转换为信息丰富的路由。它通过网络平台上的移动原型演示了该方法的可行性，并在包括东京，大阪，京都，神户，横滨，名古屋，福冈和札幌在内的日本八个不同地方的各种场景下对其进行了测试。其结果和性能可被视为在不久的将来朝着旅游领域更本地化和更实用的推荐系统迈进的垫脚石。

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