TMallGS: Scaling Unified Feature and Sequence Modeling for Generative E-commerce Search
In large-scale industrial search and ranking systems, Click-Through Rate (CTR) prediction is undergoing a paradigm shift from traditional Deep Learning Recommendation Models (DLRM) toward unified, compute-intensive Transformer architectures. The primary motivation for this transition is to leverage Model FLOPs Utilizat...