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Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs
2021
IEEE Access
With the increasing popularity of Location-Based Social Networks (LBSNs), a significant volume of check-in data of users has been generated. Such massive data brings difficulties for the users to efficiently retrieve their desired point-of-interest (POI). As a result, POI recommendation systems have received extensive attention from academia and industry. Currently, most existing POI recommendation approaches only provide users with a fixed set of recommended POIs based on the historical
doi:10.1109/access.2021.3061502
fatcat:u4yfksypvfbg7em5ph7fkdrtje