3 datasets found

Location prediction forecasts a user’s location based on historical user mobility traces. To tackle the intrinsic sparsity issue of real-world user mobility traces,...

The Foursquare and Weeplace datasets contain users' check-in histories in the cities of New York, Los Angeles, and Chicago.

The Gowalla dataset contains user-item interaction data, which is used to evaluate the performance of recommender systems.