Description

About Us Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale, we are currently focused on building the next-gen Large Recommendation Models by bridging the gap between LLMs and complex behavioral signals. Our research explores user & item tokenizations, continued pre-