TripBuilder

Dataset Description

There are datasets of three cities in Italy: (1) Pisa, (2) Florence and (3) Rome.

If you use these data, please cite the following paper:

I. Brilhante, J.A. Macedo, F.M. Nardini, R. Perego, C. Renso,
Where Shall We Go Today? Planning Touristic Tours with TripBuilder.
Proc. ACM CIKM 2013.

For each city, these are the available data.

city-pois

Description: Points of interest of the city. These data were collected from Wikipedia.
Atributtes:
  • id : identifier of the POI
  • name : name of the POI
  • latitude : latitude of the spatial position of the POI
  • longitude : longitude of the spatial position of the POI

city-pois-clusters

Description: Points of interest of the city with the cluster identifier and addition information.
Attributes:
  • clus : identifier of the cluster
  • pois : list of pois that consist the cluster delimited by ";"
  • latitude : latitude of the cluster
  • longitude : longitude of the cluster
  • time : time to visit the cluster in seconds
  • categories: list of categories of the pois of the cluster

city-photos

Description: Geo-referred photos in the city from Flickr.
Attributes:
  • userid : user's identifier
  • photoid : identifier of the photo
  • datetaken : date the photo was taken
  • dateupload : date of upload of the photo on Flickr
  • latitude : latitude of the spatial position of the photo
  • longitude : longitude of the spatial position of the photo

city-trajectories

Description: Trajectories created from the city-pois-clusters.txt and city-photos.txt. These data have already been preprocessed by: (i) assign a cluster of each photo; (ii) creating the users' history; and (iii) splitting the users' histories into trajectories.
Attributes:
  • column 1 : user' id;
  • column 2 : trajectory
  • delimiter : "\t"
Trajectory: Contains a list of points (clus; number of photos; time of the first photo; time of the last photo). Each value is delimited by ";"