الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Collaborative Filtering On Movielens 10M

المقاييس

RMSE

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	RMSE	Paper Title	Repository
SGD MF	0.772	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems	-
Factorization with dictionary learning	0.799	Dictionary Learning for Massive Matrix Factorization	-
Bayesian timeSVD++	0.7523	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems	-
Bayesian SVD++	0.7563	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems	-
U-CFN	0.7954	Hybrid Recommender System based on Autoencoders	-
U-RBM	0.823	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems	-
SVD-AE	-	SVD-AE: Simple Autoencoders for Collaborative Filtering	-
I-CFN	0.7767	Hybrid Recommender System based on Autoencoders	-
CF-NADE	0.771	A Neural Autoregressive Approach to Collaborative Filtering	-
Sparse FC	0.769	Kernelized Synaptic Weight Matrices
scaled-CER	-	The complementarity of a diverse range of deep learning features extracted from video content for video recommendation	-
Bayesian timeSVD++ flipped	0.7485	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems	-
FedPerGNN	0.793	A federated graph neural network framework for privacy-preserving personalization
FedGNN	0.803	FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation	-
GC-MC	0.777	Graph Convolutional Matrix Completion	-
MRMA	0.7634	Mixture-Rank Matrix Approximation for Collaborative Filtering	-
I-AutoRec	0.782	AutoRec: Autoencoders Meet Collaborative Filtering	-

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Collaborative Filtering On Movielens 10M | SOTA | HyperAI