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

Recommendation Systems On Yelp2018

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
NESCL	0.0611	0.0743	Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
BSPM-EM	0.0593	0.0720	Blurring-Sharpening Process Models for Collaborative Filtering
BSPM-LM	0.0584	0.0713	Blurring-Sharpening Process Models for Collaborative Filtering
MGDCF	0.0575	0.0699	MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
SimpleX	0.0575	0.0701	SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Turbo-CF	0.0574	0.0693	Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
LT-OCF	0.0549	0.0671	LT-OCF: Learnable-Time ODE-based Collaborative Filtering
SSCF	0.0542	0.0664	Sapling Similarity: a performing and interpretable memory-based tool for recommendation
LightGCN	0.0530	0.0649	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
SVD-AE	-	-	SVD-AE: Simple Autoencoders for Collaborative Filtering

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Recommendation Systems On Yelp2018 | SOTA | HyperAI超神经