An experimental evaluation of point-of-interest recommendation in location-based social networks

• Main Authors: Liu, Yiding, Pham, Tuan-Anh Nguyen, Cong, Gao, Yuan, Quan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Engineering::Computer science and engineering; POI Recommendations; Geographical Influence
• Online Access: https://hdl.handle.net/10356/105717; http://hdl.handle.net/10220/49542; http://www.vldb.org/pvldb/vol10/p1010-liu.pdf
• Institution: Nanyang Technological University

Point-of-interest (POI) recommendation is an important service to Location-Based Social Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of POI recommender systems have been proposed, but there is still a lack of systematical comparison thereof. In this paper, we provide an allaround evaluation of 11 state-of-the-art POI recommendation models. From the evaluation, we obtain several important findings, based on which we can better understand and utilize POI recommendation models in various scenarios. We anticipate this work to provide readers with an overall picture of the cutting-edge research on POI recommendation.