Yuchin Juan

Embedding Subspace Partitioning for Dynamic Multi-Objective Retrieval

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...