Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts
arXiv:2604.15581v1 Announce Type: cross
Abstract: Effective user modeling requires distinguishing between short-term and long-term preference evolution. While item embeddings have become a key component of recommender systems, standard approaches like…