抄録
D-009
A tourism recommender system using weather information
Nguyen Khanh・Yu Suzuki・Satoshi Nakamura(Nara Inst. of Science and Tech.)
In recent years, there is not much attention on discovering the impact of weather on tourism recommender systems (TRS). In this paper, we contribute to this research field by presenting a method that applies the POI-weather-rating data to make a list of POI suitable for a certain type of weather. Our system will use score functions, where the score of each POI will depend on the average rating of users to different weather aspects. The results show that recommended POIs satisfy user with many weather condition, and the recommendation accuracy is better in comparison to the original algorithm.