Data gathering system for recommender system in tourism
Data gathering system for recommender system in tourism
复制标题
旅游推荐系统数据采集系统
DOI：
10.1109/nbis.2015.78
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Yoshitaka Shibata
中科院分区：
文献类型：
--
作者：
Go Hirakawa;Goshi Sato;Kenji Hisazumi;Yoshitaka Shibata
移动终端和无线通信环境的进步使得推荐系统在旅游业中得到实际应用。推荐系统是一种信息过滤系统，它利用用户偏好、环境上下文和用户上下文帮助用户从大量信息中找到最优信息。为了进行最优推荐，推荐系统需要完善的内容存储库和大量带标签的训练数据。然而，像训练数据这样的旅游内容和旅游情境信息，即使在著名的旅游城市也没有完全数字化，更不用说在乡村了。在本文中，我们介绍了一个旅游支持信息系统的架构，其中包括旨在宣传日本岩手地区的 VR 内容。此外，我们提出了一个收集内容存储库和培训数据的系统，以在游客支持系统上构建区域特定的推荐引擎。
The advance in the mobile terminal and wireless communication environment enables practical use of recommendation systems in tourism. A recommender system is a kind of information filtering system that helps users to find the optimal information from vast amounts of information using user preferences, environmental contexts, and user contexts. To carries out the optimum recommendation, Recommender system requires well-developed contents repository and a large amount of labeled training data. However, such travel contents and travel context information as training data has not fully digitized even in famous tourist cities let alone in the countryside. In this paper, we introduce an architecture of a tourist support information system including VR contents that are aimed at promoting Iwate area in Japan. Also, we propose a system for gathering contents repository and training data to construct regional specific recommender engine on the tourist support system.