HyperAI超神经

Multimodal Recommendation On Amazon Digital

评估指标

Hit Ratio
Recall
nDCG

评测结果

各个模型在此基准测试上的表现结果

模型名称
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
0 of 18 row(s) selected.