most citedReal-Time Personalization for LLM-based Recommendation with Customized In-Context Learning

2 citations · 3 across the 4 of their papers we have counts for

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cs.IR2024★ 2 cited

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning

Keqin Bao, Ming Yan, Yang Zhang +4

Frequently updating Large Language Model (LLM)-based recommender systems to adapt to new user interests -- as done for traditional ones -- is impractical due to high training costs…

cs.IR2024★ 1 cited

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation

Yang Zhang, Keqin Bao, Ming Yan +3

When adapting Large Language Models for Recommendation (LLMRec), it is crucial to integrate collaborative information. Existing methods achieve this by learning collaborative embed…