Recommendation Systems on MovieLens 20M

Metric: Recall@20 (higher is better)

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#	Model↕	Recall@20▼	Extra Data	Paper	Date↕	Code
1	Multi-Gradient Descent	0.418	No	Multi-Gradient Descent for Multi-Objective Recom...	2019-12-09	Code
2	RecVAE	0.414	No	RecVAE: a New Variational Autoencoder for Top-N ...	2019-12-24	Code
3	VASP	0.414	Yes	Deep Variational Autoencoder with Shallow Parall...	2021-02-10	Code
4	H+Vamp Gated	0.41308	Yes	Enhancing VAEs for Collaborative Filtering: Flex...	2019-11-03	Code
5	RaCT	0.403	No	Towards Amortized Ranking-Critical Training for ...	2019-06-10	Code
6	Mult-VAE PR	0.395	No	Variational Autoencoders for Collaborative Filte...	2018-02-16	Code
7	EASE	0.391	No	Embarrassingly Shallow Autoencoders for Sparse D...	2019-05-08	Code
8	Mult-DAE	0.387	No	Variational Autoencoders for Collaborative Filte...	2018-02-16	Code
9	LED	0.375	No	Lightweight representation learning for efficien...	2021-01-04	Code

#1Multi-Gradient DescentSOTA
0.418
Recall@20· 2019-12-09
Multi-Gradient Descent for Multi-Objective Recommender Systems Code
#2RecVAE
0.414
Recall@20· 2019-12-24
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback Code
#3VASP
0.414
Recall@20· Extra Data· 2021-02-10
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)Code
#4H+Vamp GatedSOTA
0.41308
Recall@20· Extra Data· 2019-11-03
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Code
#5RaCTSOTA
0.403
Recall@20· 2019-06-10
Towards Amortized Ranking-Critical Training for Collaborative Filtering Code
#6Mult-VAE PRSOTA
0.395
Recall@20· 2018-02-16
Variational Autoencoders for Collaborative Filtering Code
#7EASE
0.391
Recall@20· 2019-05-08
Embarrassingly Shallow Autoencoders for Sparse Data Code
#8Mult-DAE
0.387
Recall@20· 2018-02-16
Variational Autoencoders for Collaborative Filtering Code
#9LED
0.375
Recall@20· 2021-01-04
Lightweight representation learning for efficient and scalable recommendation Code