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Recommendation Systems On Gowalla

Métriques

Recall@20

nDCG@20

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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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