Memory-aware multi-agent architecture with LLM-based orchestration for conversational recommendation
Read the original at arxiv.org→arXiv:2611.08718v1 Announce Type: new Abstract: Conversational recommender systems often treat user sessions in isolation, limiting their ability to capture how user intent evolves over time. While large language...
Original headline: "Memory-Aware Multi-Agent Architecture with LLM-based Orchestration for Conversational Recommendation"
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- Nov 9, 05:00 UTC arXiv cs.AI lead source Memory-Aware Multi-Agent Architecture with LLM-based Orchestration for Conversational Recommendation