2 papers
cs.IR2026
Do All Nodes Benefit Equally from Knowledge Graphs? Adaptive Node-Aware KG Fusion for Recommendation
Jaehyun Park, Minseo Jeon, Daewon Gwak +3
KG-aware recommendation has been widely studied to alleviate data sparsity by using knowledge graphs (KGs), which represent items, entities, and their relations as graphs and provi…
cs.IR2026
AlphaFree: Recommendation Free from Users, IDs, and GNNs
Minseo Jeon, Junwoo Jung, Daewon Gwak +1
Can we design effective recommender systems free from users, IDs, and GNNs? Recommender systems are central to personalized content delivery across domains, with top-K item recomme…