Photo-Taking Point Recommendation with Nested Clustering
Kosuke Kimura, Hung‐Hsuan Huang, Kyoji Kawagoe · 2012
In this paper, we propose a novel recommendation method for photo-taking points from a large amount of social community photo collections. There are many research activities on photo-related recommendations from a lot of photos stored and managed by photo sharing web services, such as Flickr, Picas a and Panoramio, Although some methods, such as landmark recommendation, tag recommendation and photo recommendation have already been proposed, no photo-taking point recommendation methods have been realized yet for social photo collections. In order to realize photo-taking point recommendation, we introduce a novel point and photo selection method based on nested clustering. From our experiments, it is shown that better recommendation accuracy with our proposed method can be attained.