9 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Reasoning over Semantic IDs Enhances Generative Recommendation
Yingzhi He, Yan Sun, Junfei Tan +6
Recent advances in generative recommendation have leveraged pretrained LLMs by formulating sequential recommendation as autoregressive generation over a unified token space compris…
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
Guoqing Hu, An Zhang, Shuo Liu +3
Recent advancements in sequential recommendation have underscored the potential of Large Language Models (LLMs) for enhancing item embeddings. However, existing approaches face thr…
Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation
Guoqing Hu, Zhengyi Yang, Zhibo Cai +2
Recent advancements in generative recommendation systems, particularly in the realm of sequential recommendation tasks, have shown promise in enhancing generalization to new items.…
Preference Diffusion for Recommendation
Shuo Liu, An Zhang, Guoqing Hu +2
Recommender systems predict personalized item rankings based on user preference distributions derived from historical behavior data. Recently, diffusion models (DMs) have gained at…