3 papers
cs.IR2025
Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
Yushang Zhao, Xinyue Han, Qian Leng +3
The cold-start issue is the challenge when we talk about recommender systems, especially in the case when we do not have the past interaction data of new users or new items. Conten…
cs.CL2025
LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP
Haowei Yang, Ziyu Shen, Junli Shao +3
Timely identification and accurate risk stratification of cardiovascular disease (CVD) remain essential for reducing global mortality. While existing prediction models primarily le…
cs.LG2025
Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems
Yushang Zhao, Haotian Lyu, Yike Peng +3
The incessant advent of online services demands high speed and efficient recommender systems (ReS) that can maintain real-time performance along with processing very complex user-i…