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