We propose a method to predict a user's favourite locations in a city, based on his Flickr geotags in other cities. We define a similarity between the geotag distributions of two users based on a Gaussian kernel convolution. The geotags of the most similar users are then combined to rerank the popular locations in the target city personalised for this user. We show that this method can give personalised travel recommendations for users with a clear preference for a specific type of landmark.
Additional Metadata
THEME Information (theme 2), Information (theme 2)
Publisher ACM
Conference Annual ACM SIGIR Conference
de Vries, A.P, Clements, M, Serdyukov, P, & Reinders, M.J.T. (2010). Using flickr geotags to predict user travel behaviour. In Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 851–852). ACM.