#Probabilistic Social Sequential Model for Tour Recommendation - WSDM17
The data contains 965k check-ins by 55k Foursquare users across 128k POIs in 4 major cities: New York, LA, Chicago and Moscow. It has been collected using the Twitter API with foursqaure tags on them.
So, the contents of the check-ins data are:
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Location: Latitude and Longitude of check-in
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City: City of the check-in
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Time: Exact time of the check-in
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User ID: Anonymized user id
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Location ID: Id of the location (POI) in foursquare
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Message: Text of the tweet. (The text had url which takes us to the check-in of the user from which user identity can be obtained. For this reason, we have removed those urls from text.)