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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…
cs.IR2025
Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
Geonwoo Ko, Minseo Jeon, Jinhong Jung
Multi-behavior recommendation predicts items a user may purchase by analyzing diverse behaviors like viewing, adding to a cart, and purchasing. Existing methods fall into two categ…