An empirical study of using an ensemble model in e-commerce taxonomy classification challenge

Keyphrases

• Electronic Commerce 100%
• Taxonomic Classification 100%
• Ensemble Model 100%
• Classification Accuracy 50%
• Classification Performance 50%
• Multiple Input 50%
• Multiplex Networks 50%
• Error-correcting 50%
• Data Challenge 50%
• Output Codes 50%
• Deep Convolutional Neural Network (deep CNN) 50%
• Product Catalog 50%
• Product Taxonomy 50%
• Threshold-moving 50%
• Rakuten 50%

Computer Science

• Taxonomy Classification 100%
• Multiple Network 50%
• Deep Convolutional Neural Networks 50%
• Product Catalog 50%
• Classification Performance 50%
• Classification Accuracy 50%
• Extracted Feature 50%

Mathematics

• Oversampling 100%
• Ensemble Model 100%
• Convolutional Neural Network 100%