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3 results for "recommendation"
- ai · arxiv/cs.AI · 4 min
Transformer agents embed four systematic biases into recommendations
Attention mechanisms in AI recommenders amplify recency, popularity, and synthetic data effects, creating reliability risks invisible to standard metrics.
May 1, 2026 Read → - ai · arxiv/cs.AI · 3 min
Multi-agent framework automates recommendation system tuning
AgenticRecTune uses specialized LLM agents to optimize configuration across pre-ranking, ranking, and re-ranking pipelines without manual tuning.
May 1, 2026 Read → - ai · arxiv/cs.AI · 4 min
KuaiLive: First Real-Time Live Streaming Recommendation Dataset
Researchers release a 21-day interaction log from Kuaishou covering 23,772 users and 452,621 streamers to enable dynamic recommendation research.
Apr 27, 2026 Read →