Recommendation Systems on MovieLens 10M

Metric: RMSE (lower is better)

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#	Model↕	RMSE▲	Extra Data	Paper	Date↕	Code
1	Bayesian timeSVD++ flipped	0.7485	No	On the Difficulty of Evaluating Baselines: A Stu...	2019-05-04	Code
2	Bayesian timeSVD++	0.7523	No	On the Difficulty of Evaluating Baselines: A Stu...	2019-05-04	Code
3	Bayesian SVD++	0.7563	No	On the Difficulty of Evaluating Baselines: A Stu...	2019-05-04	Code
4	MRMA	0.7634	No	-	-	Code
5	Sparse FC	0.769	No	-	-	Code
6	CF-NADE	0.771	No	A Neural Autoregressive Approach to Collaborativ...	2016-05-31	Code
7	SGD MF	0.772	No	On the Difficulty of Evaluating Baselines: A Stu...	2019-05-04	Code
8	I-CFN	0.7767	No	Hybrid Recommender System based on Autoencoders	2016-06-24	Code
9	GC-MC	0.777	No	Graph Convolutional Matrix Completion	2017-06-07	Code
10	I-AutoRec	0.782	No	-	-	Code
11	FedPerGNN	0.793	No	-	-	Code
12	U-CFN	0.7954	No	Hybrid Recommender System based on Autoencoders	2016-06-24	Code
13	Factorization with dictionary learning	0.799	No	Dictionary Learning for Massive Matrix Factoriza...	2016-05-03	Code
14	FedGNN	0.803	No	FedGNN: Federated Graph Neural Network for Priva...	2021-02-09	-
15	U-RBM	0.823	No	On the Difficulty of Evaluating Baselines: A Stu...	2019-05-04	Code

#1Bayesian timeSVD++ flippedSOTA
0.7485
RMSE· 2019-05-04
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Code
#2Bayesian timeSVD++SOTA
0.7523
RMSE· 2019-05-04
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Code
#3Bayesian SVD++SOTA
0.7563
RMSE· 2019-05-04
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Code
#4MRMA
0.7634
RMSE
No paperCode
#5Sparse FC
0.769
RMSE
No paperCode
#6CF-NADESOTA
0.771
RMSE· 2016-05-31
A Neural Autoregressive Approach to Collaborative Filtering Code
#7SGD MF
0.772
RMSE· 2019-05-04
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Code
#8I-CFN
0.7767
RMSE· 2016-06-24
Hybrid Recommender System based on Autoencoders Code
#9GC-MC
0.777
RMSE· 2017-06-07
Graph Convolutional Matrix Completion Code
#10I-AutoRec
0.782
RMSE
No paperCode
#11FedPerGNN
0.793
RMSE
No paperCode
#12U-CFN
0.7954
RMSE· 2016-06-24
Hybrid Recommender System based on Autoencoders Code
#13Factorization with dictionary learningSOTA
0.799
RMSE· 2016-05-03
Dictionary Learning for Massive Matrix Factorization Code
#14FedGNN
0.803
RMSE· 2021-02-09
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
#15U-RBM
0.823
RMSE· 2019-05-04
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Code