HyperAI

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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