Must-read Papers for Recommender Systems (RS)

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation

Basics of Recommender Systems: Study of Location-Based Social Networks

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation

The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation

Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets

The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation (Bias@ECIR 22))

Learning robust travel preferences via check-in masking for next POI recommendation