AgentRecBench

AgentRecBench is a benchmark dataset used to evaluate agentic recommender systems across diverse scenarios, including cold-start settings and evolving user interests, by measuring their performance on metrics like Average Hit Rate.

Papers using AgentRecBench (1)

ChainRec: An Agentic Recommender Learning to Route Tool Chains for Diverse and Evolving Interests2026