Jun 18, 2024 · We propose an effective efficient interpretable LLM-enhanced paradigm LLM4MSR in this work. Specifically, we first leverage LLM to uncover multi-level ...
Oct 21, 2024 · We propose an LLM-enhanced paradigm LLM4MSR in this work. Specifically, we first leverage LLM to uncover multi-level knowledge from the designed scenario- and ...
Jun 18, 2024 · To this end, we propose an LLM-based paradigm to enhance con- ventional multi-scenario recommendation, which leverages LLM and hierarchical meta ...
An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
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Jun 18, 2024 · The LLM4MSR paper presents a promising approach to improving multi-scenario recommendation systems, but it also has some potential limitations ...
Jul 18, 2023 · In this work, we propose a novel prompt-enhanced paradigm for multi-scenario recommendation. Specifically, a unified DRS backbone model is first ...
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. Y Wang, Y Wang, Z Fu, X Li, W Wang, Y Ye, X Zhao, H Guo, R Tang. Proceedings of the 33rd ...
LLM4MSR: An Effective Efficient Interpretable LLM-Enhanced Paradigm for Multi-Scenario Recommendation. The implement code of LLM4MSR. Take STAR as backbone ...
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation ... Llm4msr: An llm-enhanced paradigm for multi-scenario recommendation.
Area Under the ROC curve (AUC) is adopted to conduct evaluation on the test set, where a higher AUC value at 0.001 level usually denotes significant enhancement ...
A unified framework for multi-domain ctr prediction via large language models ... LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. Y Wang ...