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How Random Walks can Help Tourism
| Citations: | 6 - 3 self |
BibTeX
@MISC{Lucchese_howrandom,
author = {Claudio Lucchese and Raffaele Perego and Fabrizio Silvestri and Hossein Vahabi and Rossano Venturini},
title = {How Random Walks can Help Tourism},
year = {}
}
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Abstract
Abstract. On-line photo sharing services allow users to share their touristic experiences. Tourists can publish photos of interesting locations or monuments visited, and they can also share comments, annotations, and even the GPS traces of their visits. By analyzing such data, it is possible to turn colorful photos into metadata-rich trajectories through the points of interest present in a city. In this paper we propose a novel algorithm for the interactive generation of personalized recommendations of touristic places of interest based on the knowledge mined from photo albums and Wikipedia. The distinguishing features of our approach are multiple. First, the underlying recommendation model is built fully automatically in an unsupervised way and it can be easily extended with heterogeneous sources of information. Moreover, recommendations are personalized according to the places previously visited by the user. Finally, such personalized recommendations can be generated very efficiently even on-line from a mobile device. 1
Keyphrases
random walk personalized recommendation on-line photo touristic place gps trace underlying recommendation model share comment colorful photo interactive generation unsupervised way photo album heterogeneous source metadata-rich trajectory touristic experience interest present mobile device novel algorithm interesting location
