Data Gathering System for Recommender System in Tourism
Go Hirakawa, Goshi Satoh, Kenji Hisazumi, Yoshitaka Shibata · 2015
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.