| Evaggelos Spyrou, Ioannis Sofianos and Phivos Mylonas |
| Mining Tourist Routes from Flickr Photos |
| 10th International Workshop on Semantic and Social Media Adaptation and Personalization, November 5-6, 2015, Trento, Italy. |
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ABSTRACT
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| Popular social networking sites like Flickr are nowadays overwhelmed by geo-tagged photos. Semi-automatic discovery of touristic routes and landmarks from such a pool of photos forms a challenging task. In this paper we attempt to analyze user-generated routes within downtown city areas defined around a pre-selected geographical bounding box and derived from a large geo-tagged Flickr dataset, by utilizing a novel two-level clustering scheme. Our goal is to select routes of touristic interest for a given area. Without loss of generality the latter is considered to be a predefined “window” around a city˘s most famous landmarks and touristic attractions. The herein proposed framework has been applied to a real-life geo-tagged Flickr photos dataset from a major European metropolis: Athens, Greece.
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| 05 November , 2015 |
| Evaggelos Spyrou, Ioannis Sofianos and Phivos Mylonas, "Mining Tourist Routes from Flickr Photos", 10th International Workshop on Semantic and Social Media Adaptation and Personalization, November 5-6, 2015, Trento, Italy. |
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