Recommendation Systems on Netflix

Metric: Recall@50 (higher is better)

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#	Model↕	Recall@50▼	Extra Data	Paper	Date↕	Code
1	H+Vamp Gated	0.46252	No	Enhancing VAEs for Collaborative Filtering: Flex...	2019-11-03	Code
2	RecVAE	0.452	No	RecVAE: a New Variational Autoencoder for Top-N ...	2019-12-24	Code
3	RaCT	0.45	No	Towards Amortized Ranking-Critical Training for ...	2019-06-10	Code
4	EASE	0.445	No	Embarrassingly Shallow Autoencoders for Sparse D...	2019-05-08	Code
5	Mult-VAE PR	0.444	No	Variational Autoencoders for Collaborative Filte...	2018-02-16	Code
6	Mult-DAE	0.438	No	Variational Autoencoders for Collaborative Filte...	2018-02-16	Code

#1H+Vamp GatedSOTA
0.46252
Recall@50· 2019-11-03
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Code
#2RecVAE
0.452
Recall@50· 2019-12-24
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback Code
#3RaCTSOTA
0.45
Recall@50· 2019-06-10
Towards Amortized Ranking-Critical Training for Collaborative Filtering Code
#4EASESOTA
0.445
Recall@50· 2019-05-08
Embarrassingly Shallow Autoencoders for Sparse Data Code
#5Mult-VAE PRSOTA
0.444
Recall@50· 2018-02-16
Variational Autoencoders for Collaborative Filtering Code
#6Mult-DAE
0.438
Recall@50· 2018-02-16
Variational Autoencoders for Collaborative Filtering Code