作者位次 #2/3SIGIR 2026Oral· Information Retrieval (Full)
Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
Runhao Jiang · Renchi Yang · Donghao Wu
摘要
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 by such vectors of all users/items demand a vast amount of parameters and impose heavy compute...