MixRAGRec is a multi-agent KG-RAG framework with an MoE retrieval agent for query-specific granularity, a knowledge alignment agent, and a contrastive recommendation agent trained jointly via MMAPO.
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cs.IR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CFALR augments LLMs with collaborative filtering embeddings via trainable projection layers to outperform prior CF and LLM methods on Polyvore and IQON for personalized outfit tasks.
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Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
MixRAGRec is a multi-agent KG-RAG framework with an MoE retrieval agent for query-specific granularity, a knowledge alignment agent, and a contrastive recommendation agent trained jointly via MMAPO.
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CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation
CFALR augments LLMs with collaborative filtering embeddings via trainable projection layers to outperform prior CF and LLM methods on Polyvore and IQON for personalized outfit tasks.