Point-of-Interest Recommender Systems based on Location-Based Social Networks: A Survey from an Experimental Perspective

Understand

Point-of-Interest recommendation is an increasing research and developing area within the widely adopted technologies known as Recommender Systems.

• Among them, those that exploit information coming from Location-Based Social Networks (LBSNs) are very popular nowadays and could work with different information sources, which pose several challenges and research questions to the community as a whole.
• We present a systematic review focused on the research done in the last 10 years about this topic.
• We discuss and categorize the algorithms and evaluation methodologies used in these works and point out the opportunities and challenges that remain open in the field.