Memory-Aware Multi-Agent Architecture with LLM-based Orchestration for Conversational Recommendation
arXiv cs.AI · Emilly Pitman de Castro, Vanessa Silva, Gustavo Kanno, Marcus Santos, Bruno Ferraz do Amaral, Marcelo Nogueira, Lucas Francisco Pellicer, Lucas Lanaro, Pedro Augusto Luiz, Jo\~ao Renato Ribeiro Manesc ·
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 models (LLMs) have improved semantic understanding, they are typically used as isolated components,…
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