Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations

Jiin Woo, Alireza Bagheri Garakani, Tianchen Zhou +2

In recommendation systems, diversity and novelty are essential for capturing varied user preferences and encouraging exploration, yet many systems prioritize click relevance. While…