KuaiRec

The 'KuaiRec' dataset/benchmark contains user interaction data for evaluating the performance of interactive recommender systems, particularly in the context of fairness and state estimation in reinforcement learning.

Papers using KuaiRec (3)

Fairness Begins with State: Purifying Latent Preferences for Hierarchical Reinforcement Learning in Interactive Recommendation2026GLASS: A Generative Recommender for Long-sequence Modeling via SID-Tier and Semantic Search2026Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems2023 · 3 cites