
A hybrid framework that leverages the capabilities of both traditional recommendation systems and large language models to improve the robustness of recommendations for diverse user populations, especially those with sparse interaction histories.


coremsg

responsible-and-efficient-adaptation-of-large-language-models-to-improve-robustness-of-recommendation-systems-for-diverse-user-populations


Responsible and Efficient Adaptation of Large Language Models to Improve Robustness of Recommendation Systems for Diverse User Populations
