SHOPPER: Semantic, Historical, Order-aware, and Product-conditioned Pooling for E-commerce Recommendation
This work introduces SHOPPER, which addresses bottlenecks in large-scale e-commerce recommendation systems through Semantic history, order-aware local intent modeling, and serving-aware factorization, enabling deep target-aware summarization.
Amit Jaspal, Nicolas Bievre, Ashkan Sadeghi et al.
· 0 citations