Must-read Papers for Recommender Systems (RS)
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Updated
Mar 24, 2021
Must-read Papers for Recommender Systems (RS)
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
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
Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets
The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation (Bias@ECIR 22))
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