2 papers
cs.IR2026
DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
Xinchi Zou, Tongzhenzhi Su, Jianjun Li +4
Knowledge Graphs (KGs) have proven highly effective for recommendation systems by capturing latent item relationships, while recent integration of Large Language Models (LLMs) has…
cs.IR2026
Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
Zhiying Deng, Yuan Fu, Usman Farooq +3
Next-basket recommendation (NBR) is a type of recommendation that aims to predict a set of items a user will purchase based on their historical transaction basket sequences. It is…