Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
arXiv:2604.15573v1 Announce Type: cross
Abstract: In recent years, neural networks and other complex models have dominated recommender systems, often setting new benchmarks for state-of-the-art performance. Yet, despite these advancements, award-winni…