Personalization in an agentic RAG advising system boosts reasoning quality and grounding while reducing semantic metric scores due to the inability of current metrics to accommodate user-specific responses.
Affective recommender systems: A systematic review
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AMRS deploys a rollout-based causal transformer world model for offline DPO-based affective music recommendation under cold-start conditions on health platforms.
citing papers explorer
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The Personalization Paradox: Semantic Loss vs. Reasoning Gains in Agentic AI Q&A
Personalization in an agentic RAG advising system boosts reasoning quality and grounding while reducing semantic metric scores due to the inability of current metrics to accommodate user-specific responses.
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Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization
AMRS deploys a rollout-based causal transformer world model for offline DPO-based affective music recommendation under cold-start conditions on health platforms.