Personalized intra- and inter-city travel recommendation using large-scale geotags

Abstract

In this paper, a geotag-based inter- and intra-city travel recommendation system that considers both the personal preference and the seasonal/temporal popularity is presented. For the inter-city recommendation, a combination of two similarity measure among users is proposed. Accurate intra-city recommendation is achieved by incorporating the seasonal and temporal information into a Markov model. The effectiveness of the proposed algorithm has been experimentally demonstrated by using more than 6 million geotags downloaded from Flickr.