Embedding Subspace Partitioning (ESP) is proposed, a retrieval framework that decomposes the embedding into task-aware subspaces and replaces the single dot product with a weighted sum of per-subspace similarities, whose weights are tunable at serving time.
Shao-Bo Zhang, Alice Leung, Yun-Xiang Ren et al.· Proceedings of the 20th ACM...· 0 citations
Modern industrial recommender systems must optimize across competing objectives, balancing semantic relevance with business metrics such as engagement and revenue. While bi-encoders dominate large-scale retrieval due to their efficiency, they collapse these heterogeneous signals into a single static embedding space. Th...
Shao-Bo Zhang, Alice Leung, Yun-Xiang Ren et al.· Proceedings of the 20th ACM...· 0 citations
A policy-aligned retrieval framework that improves offline relevance over a matched-capacity baseline, with gains broadly distributed across facet combinations, and serves this framework with a two-stage GPU architecture.
Dhritiman Das, Chujie Zheng, Ronak Kaoshik et al.· 0 citations
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