TransX: Scaling Transformer-based Recommendation via Behavioral and Serving Stream Crossings
TransX is a production-oriented encoder–decoder architecture that reformulates recommendation as a sequence-to-sequence action transduction problem that decouples behavior-stream modeling from serving-event modeling and conditions next-action decoding on scalable cross-attention between nearline behavior encodings and...