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20212025
most citedOne for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation

60 citations · 61 across the 7 of their papers we have counts for

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cs.MM2025

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

Siran Chen, Boyu Chen, Chenyun Yu +6

Owing to powerful natural language processing and generative capabilities, large language model (LLM) agents have emerged as a promising solution for enhancing recommendation syste…