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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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  4. Session Based Recommendations On Diginetica

Session Based Recommendations On Diginetica

평가 지표

Hit@20
MRR@20

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Hit@20
MRR@20
Paper TitleRepository
SR-PredAO+DIDN57.8620.49SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On
NISER+53.3918.72NISER: Normalized Item and Session Representations to Handle Popularity Bias
TAGNN51.3118.03TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
NARM49.7016.17Neural Attentive Session-based Recommendation
SR-GNN50.7317.59Session-based Recommendation with Graph Neural Networks
EMDE37.5217.24An efficient manifold density estimator for all recommendation systems
SGNN-HN55.6719.45Star Graph Neural Networks for Session-based Recommendation-
PEN4Rec52.5018.56PEN4Rec: Preference Evolution Networks for Session-based Recommendation
TAGNN++51.8617.93Introducing Self-Attention to Target Attentive Graph Neural Networks
EMDE MM38.4917.31An efficient manifold density estimator for all recommendation systems
DGTN53.0518.07DGTN: Dual-channel Graph Transition Network for Session-based Recommendation
STAR53.9818.66STAR: A Session-Based Time-Aware Recommender System
GRU4REC29.458Session-based Recommendations with Recurrent Neural Networks
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한국어

소개

회사 소개데이터셋 도움말

제품

뉴스튜토리얼데이터셋백과사전

링크

TVM 한국어Apache TVMOpenBayes

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