2 papers
cs.IR2025
Selective LLM-Guided Regularization for Enhancing Recommendation Models
Shanglin Yang, Zhan Shi
Large language models provide rich semantic priors and strong reasoning capabilities, making them promising auxiliary signals for recommendation. However, prevailing approaches eit…
cs.CL2025
Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
Zhan Shi, Shanglin Yang
Fashion, deeply rooted in sociocultural dynamics, evolves as individuals emulate styles popularized by influencers and iconic figures. In the quest to replicate such refined tastes…