Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
arXiv:2604.18351v1 Announce Type: cross
Abstract: Recommender systems have advanced markedly over the past decade by transforming each user/item into a dense embedding vector with deep learning models. At industrial scale, embedding tables constituted…