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SotA/Knowledge Base/Recommendation Systems/MovieLens 20M

Recommendation Systems on MovieLens 20M

Metric: Recall@50 (higher is better)

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#Model↕Recall@50▼Extra DataPaperDate↕Code
1RecVAE0.553NoRecVAE: a New Variational Autoencoder for Top-N ...2019-12-24Code
2VASP0.552YesDeep Variational Autoencoder with Shallow Parall...2021-02-10Code
3H+Vamp Gated0.55109YesEnhancing VAEs for Collaborative Filtering: Flex...2019-11-03Code
4RaCT0.543NoTowards Amortized Ranking-Critical Training for ...2019-06-10Code
5Mult-VAE PR0.537NoVariational Autoencoders for Collaborative Filte...2018-02-16Code
6Mult-DAE0.524NoVariational Autoencoders for Collaborative Filte...2018-02-16Code
7EASE0.521NoEmbarrassingly Shallow Autoencoders for Sparse D...2019-05-08Code
8LED0.516NoLightweight representation learning for efficien...2021-01-04Code
9CML0.4665No--Code
10KGNN-LS0.321NoKnowledge-aware Graph Neural Networks with Label...2019-05-11Code