Recommendation Systems on MovieLens 1M

Metric: nDCG@10 (higher is better)

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#	Model↕	nDCG@10▼	Extra Data	Paper	Date↕	Code
1	SSE-PT	0.6292	No	-	-	Code
2	SASRec	0.5905	No	Self-Attentive Sequential Recommendation	2018-08-20	Code
3	HyperML	0.562	No	HyperML: A Boosting Metric Learning Approach in ...	2018-09-05	-
4	LRML	0.5453	No	Latent Relational Metric Learning via Memory-bas...	2017-07-17	Code
5	CML	0.5413	No	-	-	Code
6	Ekar*	0.3699	No	Ekar: An Explainable Method for Knowledge Aware ...	2019-06-22	Code
7	SVD-AE	0.3355	No	SVD-AE: Simple Autoencoders for Collaborative Fi...	2024-05-08	Code
8	∞-AE	0.3282	No	Infinite Recommendation Networks: A Data-Centric...	2022-06-03	Code

#1SSE-PT
0.6292
nDCG@10
No paperCode
#2SASRecSOTA
0.5905
nDCG@10· 2018-08-20
Self-Attentive Sequential Recommendation Code
#3HyperML
0.562
nDCG@10· 2018-09-05
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
#4LRMLSOTA
0.5453
nDCG@10· 2017-07-17
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Code
#5CML
0.5413
nDCG@10
No paperCode
#6Ekar*
0.3699
nDCG@10· 2019-06-22
Ekar: An Explainable Method for Knowledge Aware Recommendation Code
#7SVD-AE
0.3355
nDCG@10· 2024-05-08
SVD-AE: Simple Autoencoders for Collaborative Filtering Code
#8∞-AE
0.3282
nDCG@10· 2022-06-03
Infinite Recommendation Networks: A Data-Centric Approach Code