Tourist Spot Recommendation Applying Generic Object Recognition with Travel Photos
Risa Kitamura, Takayuki Itoh · 2018
Thanks to the recent spread of smartphones, tablets and digital cameras, people can take photos easily anytime, and anywhere. Therefore, photos can be a tool to record life logs. We can estimate patterns of actions and movements of people by analyzing their photos. Based on this discussion, we are developing a technique to recommend tourist spots based on the estimation of users' preferences of traveling plans from their past personal travel photos by using generic object recognition. We applied a generic object recognition system to acquire keywords of subject information taken in the photos and represented the co-occurrence of the keywords by a graph visualization technique. This paper presents our travel recommendation technique and a visual user interface that represents a graph with travel photos based on our graph visualization technique. This paper also introduces our case study with real travel photos.