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Dec 6, 2023 · Artificial Intelligence
Real-time Controllable Multi-Objective Re-ranking Models for Taobao Feed Recommendation
The paper introduces a real‑time controllable, multi‑objective re‑ranking framework for Taobao’s feed recommendation that combines actor‑critic reinforcement learning with hypernetworks to instantly adjust objective weights, handling diverse media and cold‑start constraints while delivering higher click‑through, diversity, and cold‑start ratios with only 20‑25 ms latency.
AlibabaReal-time ControlRecommendation systems
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