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Multimodal Recommendation On Amazon Toys

Metrics

Hit Ratio
Recall
nDCG

Results

Performance results of various models on this benchmark

Model Name
Hit Ratio
Recall
nDCG
Paper TitleRepository
SGL16.6810.765.93Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
FREEDOM (MMFashion + Sentence Bert)20.7013.737.10Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
VBPR (ALIGN)16.8611.065.85Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
GRCN (ALIGN)15.359.945.07Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
FREEDOM (ResNet50 + Sentence Bert)20.6413.677.04Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
DGCF14.719.435.12Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
LightGCN16.6310.595.58Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
GRCN (ResNet50 + Sentence Bert)15.009.679.675.07Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
NGCF-M (ResNet50 + Sentence Bert)16.7310.855.73Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
BPRMF14.759.515.02Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
BM3 (ALIGN)15.7810.075.24Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
VBPR (ResNet50 + Sentence Bert)16.5410.835.70Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
LATTICE (ResNet50 + Sentence Bert)18.9512.426.45Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
NGCF-M (ALIGN)17.1611.125.80Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
LATTICE (ALIGN)19.2712.736.64Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
NGCF14.449.244.87Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
ItemKNN11.066.973.91Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
BM3 (ResNet50 + Sentence Bert)15.569.945.14Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation-
0 of 18 row(s) selected.
Multimodal Recommendation On Amazon Toys | SOTA | HyperAI