Semantic trajectory-based high utility item recommendation system.

•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.