Movie genre preference prediction using machine learning for customer-based information

Computer Science

• Support Vector Machine 100%
• Classification Models 100%
• Gaussian Kernel 100%
• Learning System 100%
• Machine Learning 100%
• Customer Preference 50%
• Predictive Model 50%
• Machine Learning Approach 50%
• Analytical Approach 50%
• Logistic Regression Model 50%
• Machine Learning Algorithm 50%
• Demographic Information 50%
• Social Information 50%
• Prediction Model 50%
• Sized Enterprise 50%
• Small Data Set 50%
• Local Audience 50%

Keyphrases

• Machine Learning 100%
• Customer Focus 100%
• Extracting Features 50%
• Overfitting 50%
• Gaussian Kernel 50%
• Kernel Support Vector Machine 50%
• Vapnik-Chervonenkis Dimension 50%
• Logistic Regression Model 25%
• Machine Learning Algorithms 25%
• Customer Preference 25%
• Analytical Approach 25%
• Data-driven Approach 25%
• Classification Model 25%
• Support Vector Machine Classifier 25%
• Predictive Models 25%
• Demographic Information 25%
• Social Information 25%
• Algorithm Accuracy 25%
• Prediction Model 25%
• Machine Learning Approach 25%
• Data Analytical 25%
• Small to Medium Size Enterprises 25%
• Prediction Tool 25%
• Small Dataset 25%
• Behavioral Information 25%
• Data Design 25%
• Design Prediction 25%
• Local Audience 25%
• Customer Demographics 25%

Economics, Econometrics and Finance

• Machine Learning 100%
• Logit Model 33%
• SME 33%