Itinerary recommender system with semantic trajectory pattern mining from geo-tagged photos

作者：

Highlights：

• Propose a semantic-level itinerary recommender system from geo-tagged photos.

• Incorporation of semantic trajectory patterns into itinerary recommendations.

• Overcome the inefficiency of traditional itinerary recommender systems.

• Experimental results to demonstrate the effectiveness of proposed framework.

摘要

•Propose a semantic-level itinerary recommender system from geo-tagged photos.•Incorporation of semantic trajectory patterns into itinerary recommendations.•Overcome the inefficiency of traditional itinerary recommender systems.•Experimental results to demonstrate the effectiveness of proposed framework.

论文关键词：Semantics,Recommender systems,Geotagged photos,Trajectory pattern mining

论文评审过程：Received 24 April 2017, Revised 20 October 2017, Accepted 22 October 2017, Available online 23 October 2017, Version of Record 5 November 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.10.049