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cs.IR2025
Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
Heng Tang, Feng Liu, Xinbo Chen +7
Recent years have witnessed extensive exploration of Large Language Models (LLMs) on the field of Recommender Systems (RS). There are currently two commonly used strategies to enab…
cs.IR2024
Distributionally Robust Graph-based Recommendation System
Bohao Wang, Jiawei Chen, Changdong Li +6
With the capacity to capture high-order collaborative signals, Graph Neural Networks (GNNs) have emerged as powerful methods in Recommender Systems (RS). However, their efficacy of…