32 citations · 37 across the 12 of their papers we have counts for
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cs.LG2024★ 1 cited
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
Mingming Ha, Xuewen Tao, Wenfang Lin +3
In most practical applications such as recommendation systems, display advertising, and so forth, the collected data often contains missing values and those missing values are gene…
cs.IR2024★ 1 cited
Integrating Large Language Models with Graphical Session-Based Recommendation
Naicheng Guo, Hongwei Cheng, Qianqiao Liang +2
With the rapid development of Large Language Models (LLMs), various explorations have arisen to utilize LLMs capability of context understanding on recommender systems. While pione…