AmazonBooks_m1

Note

Please use the following evaluation settings for this benchmark:

• Dataset split: AmazonBooks_m1

• Embedding size: 64

🔥 See the benchmarking results:

from plots import show_table, show_plot
show_plot("amazonbooks_m1.csv")
show_table("amazonbooks_m1.csv")

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Rank	Year	Publication	Model	Recall@20	NDCG@20	HitRate@20	Running Steps	Contributor
1	2011	ICDM'11	SLIM	0.0755	0.0602	0.3873	🔗	Zhu et al.
2	2001	WWW'01	ItemCF	0.0736	0.0606	0.3765	🔗	Zhu et al.
3	2019	WWW'19	EASE^R	0.0710	0.0567	0.3710	🔗	Zhu et al.
4	2021	CIKM'21	GF-CF	0.0710	0.0584		🔗	Shen et al.
5	2021	CIKM'21	UltraGCN	0.0681	0.0556		🔗	Zhu et al.
6	2021	CIKM'21	SimpleX	0.0583	0.0468	0.3030	🔗	Zhu et al.
7	2021	CIKM'21	MF-CCL	0.0559	0.0447	0.2943	🔗	Zhu et al.
8	2017	WWW'07	CML	0.0522	0.0428	0.2840	🔗	Zhu et al.
9	2016	RecSys'16	YoutubeDNN	0.0502	0.0388	0.2757	🔗	Zhu et al.
10	2021	SIGIR'21	SGL-ED	0.0478	0.0379		🔗	Wu et al.

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