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cs.IR2026
S2-CAR: Segmentation-Supervised Complexity-Adaptive Recommendation
Linjiang Guo, Nitin Bisht, Shiqing Wu +2
Sequential recommendation aims to predict user preferences from interaction histories, yet existing models often struggle when behavior patterns become complex and heterogeneous. A…
cs.IR2025
Listwise Preference Alignment Optimization for Tail Item Recommendation
Zihao Li, Chao Yang, Tong Zhang +4
Preference alignment has achieved greater success on Large Language Models (LLMs) and drawn broad interest in recommendation research. Existing preference alignment methods for rec…
cs.IR2024
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
Zihao Li, Chao Yang, Yakun Chen +5
Recent years have witnessed the remarkable success of recommendation systems (RSs) in alleviating the information overload problem. As a new paradigm of RSs, session-based recommen…