Collaborative Filtering On Yelp2018

Métriques

NDCG@20

Recall@20

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
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
SimpleX	0.0575	0.0701	SimpleX: A Simple and Strong Baseline for Collaborative Filtering
UltraGCN	0.0561	0.0683	UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
SGL	0.0555	0.0675	Self-supervised Graph Learning for Recommendation
LT-OCF	0.0549	0.0671	LT-OCF: Learnable-Time ODE-based Collaborative Filtering
LightGCN	0.0530	0.0649	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

0 of 8 row(s) selected.

Collaborative Filtering On Yelp2018 | SOTA | HyperAI