The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system that can efficiently and usefully support tourists while considering their visiting frequencies. This system was developed by integrating social networking services (SNSs), Web-geographic information systems (GIS) and recommendation systems. The system recommends sightseeing spots to users with different visiting frequencies, adopting two recommendation methods (knowledge-based recommendation and collaborative recommendation methods). Additionally, the system was operated for six weeks in Kamakura City, Kanagawa Prefecture, Japan, and the total number of users was 61. Based on the results of the web questionnaire survey, the usefulness of the system when sightseeing was high, and the recommendation function of sightseeing spots, which is an original function, received mainly good ratings. From the results of the access analysis of users’ log data, the total number of sessions in this system was 329, 77% used mobile devices, and smartphones were used most frequently. Therefore, it is evident that the system was used by different types of devices just as it was designed for, and that the system was used according to the purpose of the present study, which is to support the sightseeing activities of users.

中文翻译：

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考虑用户访问频率的观光景点推荐系统

本研究旨在设计，开发，运营和评估观光景点推荐系统，该系统可以在考虑游客的访问频率的同时，有效地支持游客。该系统是通过集成社交网络服务（SNS），Web地理信息系统（GIS）和推荐系统而开发的。该系统采用两种推荐方法（基于知识的推荐和协同推荐方法）向访问频率不同的用户推荐景点。此外，该系统在日本神奈川县镰仓市运行了六周，用户总数为61。基于网络问卷调查的结果，该系统在观光时的实用性很高，因此建议观光景点的功能 这是一项原始功能，主要收到好评。根据用户日志数据的访问分析结果，该系统中的会话总数为329，其中77％使用了移动设备，而智能手机使用最多。因此，很明显，该系统正被设计用于不同类型的设备，并且该系统是根据本研究的目的使用的，目的是支持用户的观光活动。