2 papers
cs.IR2025
Are Large Language Models Really Effective for Training-Free Cold-Start Recommendation?
Genki Kusano, Kenya Abe, Kunihiro Takeoka
Recommender systems usually rely on large-scale interaction data to learn from users' past behaviors and make accurate predictions. However, real-world applications often face situ…
cs.IR2025
LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries
Kenya Abe, Kunihiro Takeoka, Makoto P. Kato +1
Query expansion (QE) enhances retrieval by incorporating relevant terms, with large language models (LLMs) offering an effective alternative to traditional rule-based and statistic…