Hongwei Shang

Embedding-based retrieval (EBR) is foundational to large-scale e-commerce search, yet its effectiveness is often constrained by the quality of training signals and the representational capacity of the encoder. Standard dual-encoders suffer from a training-inference gap: they are optimized on narr...

E-commerce search ranking models face the challenging and critical problem of balancing strict real-time latency constraints with the need for high-quality relevance predictions. In production environments, ranking models often rely primarily on product titles, which frequently omit critical attr...

Product search systems must not only return relevant items but also understand users' implicit preferences beyond their explicit queries. For instance, when searching for "steak", most users implicitly prefer beef steak over equally relevant alternatives like pork steak. Predicting such engagemen...