A user purchase behavior prediction method based on XGBoost

Keyphrases

• Prediction Method 100%
• XGBoost Model 100%
• XGBoost 100%
• Purchase Prediction 100%
• Purchase Behavior 66%
• Electronic Commerce 33%
• Machine Learning Models 33%
• Online Shopping 33%
• Unsatisfactory Outcome 33%
• Order of Accuracy 33%
• User Behavior 33%
• Usage Patterns 33%
• Prediction Model 33%
• User Tags 33%
• Support Vector Machine 33%
• Value Model 33%
• F1 Score 33%
• Back-propagation Artificial Neural Network (BP-ANN) 33%
• Tag Feature 33%
• Weight Value 33%
• Machine Learning Algorithms 33%
• Computing Time 33%
• Multi-feature 33%
• Extreme Gradient Boosting(XGBoost) 33%
• Random Forest 33%
• Multidimensional Features 33%
• Multi-feature Fusion 33%
• User Types 33%
• K-nearest 33%
• Algorithm Efficiency 33%
• User Account 33%
• Behavior Fusion 33%
• Superior Stability 33%
• User Value 33%
• Traditional Machine Learning 33%
• User Feature 33%
• Account Data 33%
• Neighborhood Support 33%

Engineering

• Collected Data 100%
• Support Vector Machine 100%
• Backpropagation 100%
• Computing Time 100%
• Machine Learning Algorithm 100%
• Tag Feature 100%
• Nearest Neighbor 100%
• Random Forest 100%

Computer Science

• Extreme Gradient Boosting 100%
• User Behavior 28%
• Machine Learning 14%
• Collected Data 14%
• e-Commerce 14%
• Prediction Model 14%
• Support Vector Machine 14%
• back-propagation neural network 14%
• Machine Learning Algorithm 14%
• Behavior Pattern 14%
• Random Decision Forest 14%
• Feature Fusion 14%
• Dimensional Feature 14%