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Session Based Recommendations On Diginetica

Metrics

Hit@20

MRR@20

Results

Performance results of various models on this benchmark

Model Name	Hit@20	MRR@20	Paper Title	Repository
SR-PredAO+DIDN	57.86	20.49	SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On
NISER+	53.39	18.72	NISER: Normalized Item and Session Representations to Handle Popularity Bias
TAGNN	51.31	18.03	TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
NARM	49.70	16.17	Neural Attentive Session-based Recommendation
SR-GNN	50.73	17.59	Session-based Recommendation with Graph Neural Networks
EMDE	37.52	17.24	An efficient manifold density estimator for all recommendation systems
SGNN-HN	55.67	19.45	Star Graph Neural Networks for Session-based Recommendation	-
PEN4Rec	52.50	18.56	PEN4Rec: Preference Evolution Networks for Session-based Recommendation
TAGNN++	51.86	17.93	Introducing Self-Attention to Target Attentive Graph Neural Networks
EMDE MM	38.49	17.31	An efficient manifold density estimator for all recommendation systems
DGTN	53.05	18.07	DGTN: Dual-channel Graph Transition Network for Session-based Recommendation
STAR	53.98	18.66	STAR: A Session-Based Time-Aware Recommender System
GRU4REC	29.45	8	Session-based Recommendations with Recurrent Neural Networks

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Session Based Recommendations On Diginetica | SOTA | HyperAI