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

Authors:
Toshihiko Yamasaki;Andrew Gallagher;Tsuhan Chen
Affiliations:
The University of Tokyo, Tokyo, Japan;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA
Venue:
Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia
Year:
2013

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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.