HyperAI超神经

首页算力平台文档资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Collaborative Filtering On Gowalla

评估指标

NDCG@20

Recall@20

评测结果

各个模型在此基准测试上的表现结果

			Paper Title	Repository
BSPM-EM	0.1597	0.1920	Blurring-Sharpening Process Models for Collaborative Filtering
NESCL	0.1617	0.1917	Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
BSPM-LM	0.1570	0.1901	Blurring-Sharpening Process Models for Collaborative Filtering
LT-OCF	0.1574	0.1875	LT-OCF: Learnable-Time ODE-based Collaborative Filtering
SimpleX	0.1557	0.1872	SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Emb-GCN	-	0.1862	UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
UltraGCN	0.1580	0.1862	UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
GF-CF	0.1518	0.1849	How Powerful is Graph Convolution for Recommendation?
LightGCN	0.1554	0.1830	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
NGCF	-	0.1570	Neural Graph Collaborative Filtering

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Collaborative Filtering On Gowalla | SOTA | HyperAI超神经