Chenjiao Feng

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation

Cold-start sequential recommendation, where user interaction histories are sparse or minimal, remains a significant challenge in recommendation systems. Current meta-learning-based approaches rely heavily on the interaction histories of regular users to construct meta-tasks, aiming to acquire prior…