Generative Enhanced Modeling: A Collaborative Framework for Enhancing User Representations via Semantic ID
User interest modeling is foundational to recommender systems. However, sparse and noisy behaviors make traditional item-level sequence models brittle, especially for new and low-activity users. Furthermore, relying solely on a user's own history limits exploration and reinforces the ''filter bubbles''. To address this...