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cs.IR2025
Rotate Both Ways: Time-and-Order RoPE for Generative Recommendation
Xiaokai Wei, Jiajun Wu, Daiyao Yi +2
Generative recommenders, typically transformer-based autoregressive models, predict the next item or action from a user's interaction history. Their effectiveness depends on how th…
cs.IR2025
The Layout Is the Model: On Action-Item Coupling in Generative Recommendation
Xiaokai Wei, Jiajun Wu, Daiyao Yi +2
Generative Recommendation (GR) models treat a user's interaction history as a sequence to be autoregressively predicted. When both items and actions (e.g., watch time, purchase, co…