HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Recommendation Systems On Gowalla

평가 지표

Recall@20

nDCG@20

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Recall@20	nDCG@20	Paper Title	Repository
NESCL	0.1917	0.1617	Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering	-
SVD-AE	-	-	SVD-AE: Simple Autoencoders for Collaborative Filtering	-
Emb-GCN	0.1862	0.1580	UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation	-
LT-OCF	0.1875	0.1574	LT-OCF: Learnable-Time ODE-based Collaborative Filtering	-
BSPM-LM	0.1901	0.157	Blurring-Sharpening Process Models for Collaborative Filtering	-
MGDCF	0.1864	0.1589	MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering	-
ConvNCF	-	0.6019	Outer Product-based Neural Collaborative Filtering	-
NGCF	0.1570	0.1327	Neural Graph Collaborative Filtering	-
SSCF	0.1775	0.1390	Sapling Similarity: a performing and interpretable memory-based tool for recommendation	-
LightGCN	0.1830	0.1554	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation	-
BSPM-EM	0.1920	0.1597	Blurring-Sharpening Process Models for Collaborative Filtering	-
SimpleX	0.1872	0.1557	SimpleX: A Simple and Strong Baseline for Collaborative Filtering	-

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