Conference Proceedings

Time Period-Based Top-k Semantic Trajectory Pattern Query

ME Yadamjav, FM Choudhury, Z Bao, B Zheng

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Published : 2021

Abstract

The sequences of user check-ins form semantic trajectories that represent the movement of users through time, along with the types of POIs visited. Extracting patterns in semantic trajectories can be widely used in applications such as route planning and trip recommendation. Existing studies focus on the entire time duration of the data, which may miss some temporally significant patterns. In addition, they require thresholds to define the interestingness of the patterns. Motivated by the above, we study a new problem of finding top-k semantic trajectory patterns w.r.t. a given time period and given categories by considering the spatial closeness of POIs. Specifically, we propose a novel alg..

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