7 March 2012
Ex Boccherini - Piazza S. Ponziano 6 (Conference Room )
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 meta data-rich trajectories through
the points of interest present in a city.
In this talk, we discuss 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.
Units:
SysMA