most citedERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization

16 citations · 21 across the 10 of their papers we have counts for

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cs.AI2024

A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation

Li Wang, Lei Sang, Quangui Zhang +2

Cross-domain recommendation (CDR) aims to enhance recommendation accuracy in a target domain with sparse data by leveraging rich information in a source domain, thereby addressing…