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Datasets/Amazon

Amazon

Benchmarks

Classification/AccuracyClick-Through Rate Prediction/AUCCommunity Detection/F1-scoreCommunity Detection/Accuracy-NECommunity Detection/NMIDocument Classification/AccuracyInformation Retrieval/HR@30Link Prediction/F1-ScoreLink Prediction/PR AUCLink Prediction/ROC AUCText Classification/AccuracyText Summarization/ROUGE-1Text Summarization/ROUGE-2Text Summarization/ROUGE-L

Related Benchmarks

Amazon Baby/Recommendation Systems/Hit RatioAmazon Baby/Recommendation Systems/NDCG@20Amazon Baby/Recommendation Systems/RecallAmazon Baby/Recommendation Systems/nDCGAmazon Beauty/Recommendation Systems/HR@10Amazon Beauty/Recommendation Systems/Hit RatioAmazon Beauty/Recommendation Systems/Hit@10Amazon Beauty/Recommendation Systems/NDCGAmazon Beauty/Recommendation Systems/NDCG@10Amazon Beauty/Recommendation Systems/RecallAmazon Beauty/Recommendation Systems/nDCGAmazon Beauty/Recommendation Systems/nDCG@10Amazon Books/Recommendation Systems/Recall@20Amazon C&A/Recommendation Systems/Hits@10Amazon C&A/Recommendation Systems/Hits@20Amazon C&A/Recommendation Systems/nDCG@10Amazon C&A/Recommendation Systems/nDCG@20Amazon Cell Phones/Recommendation Systems/Hit@5Amazon Clothing/Recommendation Systems/NDCG@20Amazon Computers/Node Classification/AccuracyAmazon Counterfeit/Classification/AccuracyAmazon Counterfeit/Few-Shot Text Classification/AccuracyAmazon Counterfeit/Text Classification/AccuracyAmazon Dataset/Click-Through Rate Prediction/AUCAmazon Digital Music/Recommendation Systems/Hit RatioAmazon Digital Music/Recommendation Systems/RecallAmazon Digital Music/Recommendation Systems/nDCGAmazon Fashion/Recommendation Systems/AUCAmazon Fashion/Recommendation Systems/Hit@10Amazon Fashion/Recommendation Systems/HitRatio@ 10 (100 Neg. Samples)Amazon Fashion/Recommendation Systems/NDCGAmazon Fashion/Recommendation Systems/nDCG@10 (100 Neg. Samples)Amazon Fashion/Recommendation Systems/nDCG@10 (500 Neg. Samples)Amazon Games/Recommendation Systems/AUCAmazon Games/Recommendation Systems/Hit@10Amazon Games/Recommendation Systems/NDCGAmazon Games/Recommendation Systems/nDCG@10Amazon MTPP/Point Processes/Accuracy (%)Amazon MTPP/Point Processes/MAEAmazon MTPP/Point Processes/OTDAmazon MTPP/Point Processes/T-mAPAmazon Men/Recommendation Systems/Hit@10Amazon Men/Recommendation Systems/NDCGAmazon Men/Recommendation Systems/nDCG@10Amazon Office Products/Recommendation Systems/Hit RatioAmazon Office Products/Recommendation Systems/RecallAmazon Office Products/Recommendation Systems/nDCGAmazon Photo/Node Classification/AccuracyAmazon Product Data/Recommendation Systems/AUCAmazon Product Data/Recommendation Systems/F1Amazon Review Full/Sentiment Analysis/AccuracyAmazon Review Polarity/Sentiment Analysis/AccuracyAmazon Sports/Recommendation Systems/NGCG@20Amazon Toys & Games/Recommendation Systems/Hit RatioAmazon Toys & Games/Recommendation Systems/RecallAmazon Toys & Games/Recommendation Systems/nDCGAmazon-12K/Classification/P@1Amazon-12K/Classification/P@3Amazon-12K/Classification/P@5Amazon-12K/Classification/nDCG@3Amazon-12K/Classification/nDCG@5Amazon-12K/Multi-Label Text Classification/P@1Amazon-12K/Multi-Label Text Classification/P@3Amazon-12K/Multi-Label Text Classification/P@5Amazon-12K/Multi-Label Text Classification/nDCG@3Amazon-12K/Multi-Label Text Classification/nDCG@5Amazon-12K/Text Classification/P@1Amazon-12K/Text Classification/P@3Amazon-12K/Text Classification/P@5Amazon-12K/Text Classification/nDCG@3Amazon-12K/Text Classification/nDCG@5Amazon-2/Classification/ErrorAmazon-2/Text Classification/ErrorAmazon-5/Chatbot/1 in 10 R@2Amazon-5/Classification/ErrorAmazon-5/Dialogue/1 in 10 R@2Amazon-5/Dialogue Generation/1 in 10 R@2Amazon-5/Text Classification/ErrorAmazon-5/Text Generation/1 in 10 R@2Amazon-Beauty/Recommendation Systems/HR@10Amazon-Beauty/Recommendation Systems/HR@20Amazon-Beauty/Recommendation Systems/HR@5Amazon-Beauty/Recommendation Systems/HR@50Amazon-Beauty/Recommendation Systems/MAP@20Amazon-Beauty/Recommendation Systems/MRR@10Amazon-Beauty/Recommendation Systems/MRR@20Amazon-Beauty/Recommendation Systems/MRR@50Amazon-Beauty/Recommendation Systems/NDCG@20Amazon-Beauty/Recommendation Systems/NDCG@5Amazon-Beauty/Recommendation Systems/NDCG@50Amazon-Beauty/Recommendation Systems/nDCG@10Amazon-Book/Collaborative Filtering/NDCG@20Amazon-Book/Collaborative Filtering/Recall@20Amazon-Book/Recommendation Systems/HR@10Amazon-Book/Recommendation Systems/HR@50Amazon-Book/Recommendation Systems/NDCG@10Amazon-Book/Recommendation Systems/NDCG@50Amazon-Book/Recommendation Systems/Recall@20Amazon-Book/Recommendation Systems/nDCG@20Amazon-CDs/Recommendation Systems/MAP@20Amazon-CDs/Recommendation Systems/MRR@20Amazon-CDs/Recommendation Systems/NDCG@20Amazon-CDs/Recommendation Systems/Recall@10Amazon-CDs/Recommendation Systems/nDCG@10Amazon-Electronics/Recommendation Systems/MAP@20Amazon-Electronics/Recommendation Systems/MRR@20Amazon-Electronics/Recommendation Systems/NDCG@20Amazon-Fraud/Active Speaker Detection/AUC-ROCAmazon-Fraud/Active Speaker Detection/Averaged PrecisionAmazon-Fraud/Active Speaker Detection/F1 MacroAmazon-Fraud/Active Speaker Detection/G-meanAmazon-Fraud/Anomaly Detection/AUCAmazon-Fraud/Fraud Detection/AUC-ROCAmazon-Fraud/Fraud Detection/Averaged PrecisionAmazon-Fraud/Fraud Detection/F1 MacroAmazon-Fraud/Fraud Detection/G-meanAmazon-Fraud/Node Classification/AUC-ROCAmazon-Google/Data Integration/Candidate Set SizeAmazon-Google/Data Integration/F1 (%)Amazon-Google/Data Integration/RecallAmazon-Google/Entity Resolution/Candidate Set SizeAmazon-Google/Entity Resolution/F1 (%)Amazon-Google/Entity Resolution/RecallAmazon-Health/Recommendation Systems/MAP@20Amazon-Health/Recommendation Systems/MRR@20Amazon-Health/Recommendation Systems/NDCG@20Amazon-Movies/Recommendation Systems/MAP@20Amazon-Movies/Recommendation Systems/MRR@20Amazon-Movies/Recommendation Systems/NDCG@20Amazon-Sports/Recommendation Systems/HR@10Amazon-Sports/Recommendation Systems/HR@20Amazon-Sports/Recommendation Systems/HR@5Amazon-Sports/Recommendation Systems/MRR@10Amazon-Sports/Recommendation Systems/NDCG@10Amazon-Sports/Recommendation Systems/NDCG@5Amazon-Toys/Recommendation Systems/HR@5Amazon-Video-Games/Recommendation Systems/HR@10Amazon-Video-Games/Recommendation Systems/MRR@10Amazon-Video-Games/Recommendation Systems/NDCG@10Amazon-book/Recommendation Systems/Recall@20Amazon-employee-access/Core set discovery/F1(10-fold)Amazon2M/Node Classification/F1amazon-ratings/Node Classification/Accuracy (%)

Statistics

Papers
0
Benchmarks
14

Links

Tasks

ClassificationClick-Through Rate PredictionCommunity DetectionDocument ClassificationInformation RetrievalLink PredictionText ClassificationText Summarization