Showing cs.IRShow all
3 papers · 1 filter
cs.IR2026
AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders
Minh-Duc Nguyen, Hai-Dang Kieu, Dung D. Le
Agentic systems powered by Large Language Models (LLMs) have shown strong potential in recommender systems but remain hindered by several challenges. Fine-tuning LLMs is parameter-…
cs.IR2025
Enhancing News Recommendation with Hierarchical LLM Prompting
Hai-Dang Kieu, Delvin Ce Zhang, Minh Duc Nguyen +3
Personalized news recommendation systems often struggle to effectively capture the complexity of user preferences, as they rely heavily on shallow representations, such as article…
cs.IR2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Hai-Dang Kieu, Minh Duc Nguyen, Thanh-Son Nguyen +1
Recent advancements in Large Language Models (LLMs) have shown significant potential in enhancing recommender systems. However, addressing the cold-start recommendation problem, wh…