Jun-Chen Li

Clustering-enhanced hypergraph learning with high-order relations for POI recommendation

Point-of-interest (POI) recommendation aims to infer users' future visits from sparse and heterogeneous check-in records in location-based social networks (LBSNs). Existing methods often model sequential transitions, contextual factors, or graph relations separately, making it difficult to jointly capture latent user g...