ResearchBenchmarksTop-N Recommendation on Netflix Prize Dataset (test)Follow36.2Recall@20EASE26.63229.11631.634.084Dec 24, 2019Evaluation ResultsMethodMethodLinksRecall@20Recall@50NDCG@100EASE2019.1236.244.539.3RecVAEtraining=fine-tuned fr...training=fine-tuned from MovieLens-20M2019.1236.145.239.4RaCT2019.1235.74539.2LambdaNet2019.1235.244.138.6Mult-VAE2019.1235.144.438.6SLIM2019.1234.742.837.9Mult-DAE2019.1234.443.838CDAE2019.1234.342.837.6WMF2019.1231.640.435.1WARP2019.122736.530.6