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New Yorker Melange
2014
Proceedings of the ACM International Conference on Multimedia - MM '14
In this paper we propose New Yorker Melange, an interactive city explorer, which navigates New York venues through the eyes of New Yorkers having a similar taste to the interacting user. To gain insight into New Yorkers' preferences and properties of the venues, a dataset of more than a million venue images and associated annotations has been collected from Foursquare, Picasa, and Flickr. As visual and text features, we use semantic concepts extracted by a convolutional deep net and latent
doi:10.1145/2647868.2656403
dblp:conf/mm/ZahalkaRW14
fatcat:fmvccs5ab5gsbov4boceu6fk7u