We first crossed the data about the venues that each researcher published papers over the years and the venues where they published papers together, as co-authors.
To be sure, however, Foursquare's data has always been valuable given that it built up a significant store of information about venues — including more accurate fences around venues, ratings, and reviews for places like restaurants.
In the design of the API, crowd-sourced information was explicitly left out in order not to expose the participating municipalities to potential liability, by publishing negative data about a venue.
That being said, while the guides may be good for a quick visual take on popular spots, lacking user or critics' reviews limits their practicality for serious vacation planners who would want more detailed data about a venue, including pricing, recommendations, overall ambience, quality of service, travel times to key areas (like the city center, or the airport), and more.
The company got its start in Baltimore, so a lot of its data about restaurants, nightlife, venues, activities, etc. is currently centered around the Baltimore and D.C. regions.
As future work, we intend to validate our methodology with other LBSN datasets and other data about gender preferences for venues collected in a traditional (offline) fashion.
This provides a key to how TripAdvisor may end up using Tiny Post, or a variation of its service: users are already uploading hundreds of their own images to TripAdvisor to fill out data about locations and specific venues; this will give users another way of presenting that data, specifically from a mobile platform.
The data includes information about the artists at different Lollapalooza events, the festival schedule (including last-minute changes), the precise location of stages and other venues, and data about which artists are getting the most interest from fans.
Tells about venues observed during the transition.
