Interactive trip planning using activity trajectories

Abstract

We present an interactive trip planning system called @FINDER which uses an exemplar trajectory query to find the most related top-k spatial-textual trajectories. @FINDER is implemented to support various degrees of user information needs for trip planning. For users with zero knowledge about places to travel, @FINDER provides a heatmap of popular points of interest (POIs) as well as popular activities from a trajectory database. The system helps users quickly explore the places, and helps formulate an exemplar trajectory query, which specifies preferred places to go and activities of interest. Then @FINDER provides efficient query processing of the top-k related spatial-textual trajectories..