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cs.IR2026
Beyond the Trigger: Learning Collaborative Context for Generalizable Trigger-Induced Recommendation
Chen Gao, Zixin Zhao, Lv Shao +1
In e-commerce, Trigger-Induced Recommendation (TIR), recommending items after a user clicks a trigger, is an important task. However, modern platforms rely on a continuous stream o…
cs.IR2026
Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
Chen Gao, Zixin Zhao, Lv Shao +1
Click-Through Rate (CTR) prediction has long been dominated by discriminative paradigms that optimize local decision boundaries within candidate-specific subspaces. However, these…
cs.IR2026
All-domain Moveline Evolution Network for Click-Through Rate Prediction
Chen Gao, Zixin Zhao, Lv Shao +1
E-commerce app users exhibit behaviors that are inherently logically consistent. A series of multi-scenario user behaviors interconnect to form the scene-level all-domain user move…