Kuaishou Tech
Mar 29, 2023 · Artificial Intelligence
ResAct: A Reinforcement Learning Approach for Long-Term User Retention in Sequential Recommendation
The paper introduces ResAct, a reinforcement‑learning framework that improves long‑term user retention in sequential recommendation by constraining the policy space near the online‑serving policy and employing a conditional variational auto‑encoder, residual actor, and state‑action value network, achieving significant gains over existing methods on a large‑scale short‑video dataset.
Recommendation systemsResActreinforcement learning
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