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Multimodal Recommendation On Amazon Digital

Métriques

Hit Ratio
Recall
nDCG

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Hit Ratio
Recall
nDCG
Paper TitleRepository
VBPR (ResNet50 + Sentence Bert)43.5428.3715.22Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
GRCN (CLIP)37.9624.2013.09--
FREEDOM (ResNet50 + Sentence Bert)43.4629.0516.15Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
ItemKNN34.5121.7412.00Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
FREEDOM (AltCLIP)44.0829.2016.19--
VBPR (CLIP)42.4628.2115.13--
LATTICE (AltCLIP)44.6930.1916.58--
GRCN (ResNet50 + Sentence Bert)36.2522.8812.17Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
SGL40.8127.0915.03Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
BM3 (MMFashion + Sentence Bert)41.7327.4714.40--
NGCF-M (CLIP)42.6024.2715.54--
DGCF40.4626.4714.46Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
NGCF40.1426.4614.58Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
LightGCN43.1928.6614.95Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
LATTICE (ResNet50 + Sentence Bert)43.6029.4016.07Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
BRMF41.1327.3214.94Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
NGCF-M (ResNet50 + Sentence Bert)41.9127.8415.35Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
BM3 (ResNet50 + Sentence Bert)41.4227.0714.34Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
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Multimodal Recommendation On Amazon Digital | SOTA | HyperAI