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SotA/Knowledge Base/Recommendation Systems/MovieLens 20M

Recommendation Systems on MovieLens 20M

Metric: nDCG@100 (higher is better)

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#Model↕nDCG@100▼Extra DataPaperDate↕Code
1VASP0.448YesDeep Variational Autoencoder with Shallow Parall...2021-02-10Code
2H+Vamp Gated0.44522YesEnhancing VAEs for Collaborative Filtering: Flex...2019-11-03Code
3RecVAE0.442NoRecVAE: a New Variational Autoencoder for Top-N ...2019-12-24Code
4RaCT0.434NoTowards Amortized Ranking-Critical Training for ...2019-06-10Code
5Mult-VAE PR0.426NoVariational Autoencoders for Collaborative Filte...2018-02-16Code
6EASE0.42NoEmbarrassingly Shallow Autoencoders for Sparse D...2019-05-08Code
7Mult-DAE0.419NoVariational Autoencoders for Collaborative Filte...2018-02-16Code