ML-100k

The ML-100K dataset is a benchmark containing 100,000 ratings from users on movies, used to evaluate the performance of recommender systems.

Papers using ML-100k (4)

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation2025LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking2025GLocal-K: Global and Local Kernels for Recommender Systems2021 · 52 citesLink Prediction in Dynamic Graphs for Recommendation2018 · 3 cites