Hung-Nghiep Tran

SeRel-LightFM: Bridging Semantic and Relational Representations for Sparse Hybrid Recommendation

Data sparsity remains a major obstacle for recommender systems because conventional collaborative filtering methods rely heavily on observed user–item interactions and often fail to exploit richer semantic and relational signals. To address this limitation, we propose SeRel-LightFM, a knowledge-aware hybrid recommendat...