2 papers
cs.IR2026
MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation
Hyunsoo Kim, Jaewan Moon, Seongmin Park +1
Modern recommender systems trained on domain-specific data often struggle to generalize across multiple domains. Cross-domain sequential recommendation has emerged as a promising r…
cs.IR2025
LLM-Enhanced Linear Autoencoders for Recommendation
Jaewan Moon, Seongmin Park, Jongwuk Lee
Large language models (LLMs) have been widely adopted to enrich the semantic representation of textual item information in recommender systems. However, existing linear autoencoder…