RecRec: Recursive Reasoning Framework for Sequential Recommendation
_reachsumit · x · 2026-07-15
The paper RecRec proposes a recursive reasoning framework for sequential recommendation, focusing on the step-by-step deduction of "latent interests".
Key points:
- Uses recursive reasoning to model users' latent interests.
- Reinforcement learning-free (RL-free).
- Decouples reasoning from prediction, allowing reasoning depth to be adjusted on-demand during the inference phase.
Related event: Sony Introduces RecRec for Sequential Recommendation(2 posts)→
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