Semantic trajectory-based high utility item recommendation system.

Highlights: [•] We propose a new approach for mobile users’ movement behavior mining and prediction and items recommendation. [•] We employ the notion of semantic trajectory similarity to cluster similar users together. [•] Based on the trajectory patterns and high utility itemsets, we propose a novel location-based recommendation strategy. [ABSTRACT FROM AUTHOR]