9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders
Ziliang Zhao, Bi Xue, Emma Lin +17
Embedding tables are critical components of large-scale recommendation systems, facilitating the efficient mapping of high-cardinality categorical features into dense vector repres…
cs.IR2023★ 9 cited
Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace
Yunzhong He, Yuxin Tian, Mengjiao Wang +7
Embedding-based Retrieval (EBR) in e-commerce search is a powerful search retrieval technique to address semantic matches between search queries and products. However, commercial s…