Xbox movies recommendations: Variational bayes matrix factorization with embedded feature selection

Keyphrases

• Matrix Factorization 100%
• Xbox 100%
• Movie Recommendation 100%
• Variational Bayes 100%
• Bayer Matrix 100%
• Embedded Feature Selection 100%
• Popular 33%
• Prediction Accuracy 33%
• Numeric Rating Scale 33%
• Publicly Available 33%
• Stochastic Gradient Descent 33%
• Collaborative Filtering 33%
• Overfitting 33%
• Recommendation System 33%
• Real-world Systems 33%
• Feature Selection 33%
• Feature Parameter 33%
• Matrix Factorization Model 33%
• Likelihood Function 33%
• Informative Features 33%
• Rating Data 33%
• Overall Framework 33%
• Sparsity Prior 33%
• Regularization Coefficient 33%
• MovieLens Dataset 33%
• Gradient Descent Approach 33%
• Movie Recommendation System 33%
• Binary Feedback 33%
• Movie Dataset 33%
• Metadata Features 33%
• Non-informative Features 33%
• Long Tail Items 33%
• Gaussian Prior 33%

Computer Science

• Matrix Factorization 100%
• Feature Extraction 100%
• Feature Selection 100%
• Sparsity 50%
• Regularization 50%
• Recommender System 50%
• Collaborative Filtering 50%
• Matrix Factorization Model 50%
• Predictive Accuracy 50%
• Metadata 50%
• Baseline Model 50%
• Likelihood Function 50%