Semantic trajectory-based high utility item recommendation system

作者：

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.

摘要

•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.

论文关键词：Trajectory database,Trajectory pattern,High utility pattern,Items recommendation,Semantic prediction,Data mining

论文评审过程：Available online 19 February 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.01.042