TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Knowledge Base/Recommendation Systems/Netflix

Recommendation Systems on Netflix

Metric: Recall@50 (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Recall@50▼Extra DataPaperDate↕Code
1H+Vamp Gated0.46252NoEnhancing VAEs for Collaborative Filtering: Flex...2019-11-03Code
2RecVAE0.452NoRecVAE: a New Variational Autoencoder for Top-N ...2019-12-24Code
3RaCT0.45NoTowards Amortized Ranking-Critical Training for ...2019-06-10Code
4EASE0.445NoEmbarrassingly Shallow Autoencoders for Sparse D...2019-05-08Code
5Mult-VAE PR0.444NoVariational Autoencoders for Collaborative Filte...2018-02-16Code
6Mult-DAE0.438NoVariational Autoencoders for Collaborative Filte...2018-02-16Code