Personalized recommendation by matrix co-factorization with tags and time information

Keyphrases

• Personalized Recommendation 100%
• Time Information 100%
• Matrix Factorization 100%
• Tag Information 100%
• Overfitting 75%
• Rating Data 75%
• User Preference 50%
• Recommender Systems 50%
• Recommendation Algorithm 50%
• Copyright 25%
• Electronic Commerce 25%
• Social Media Platforms 25%
• Effective Method 25%
• Effective Model 25%
• Recommendation Accuracy 25%
• Large Volume 25%
• Intelligent Systems 25%
• Netflix 25%
• MovieLens 25%
• Benchmark Dataset 25%
• Information Overload 25%
• Web of Data 25%
• Temporal Effects 25%
• Data Sparsity Problem 25%
• Tag Feature 25%
• Item Features 25%
• SVD Method 25%
• Amount of Input 25%
• KDD Cup 25%
• Data Sparsity 25%
• SVD Model 25%
• Sparse Rating Matrix 25%
• Expert System 25%
• Matrix Factorization Algorithm 25%
• Changes with Time 25%

Computer Science

• Time Information 100%
• Matrix Factorization 100%
• User Preference 66%
• Recommender Systems 66%
• Recommendation Algorithm 66%
• Sparsity 66%
• Data Source 33%
• Social Medium Platform 33%
• Experimental Result 33%
• Recommendation Accuracy 33%
• Regularization 33%
• Effective Method 33%
• Factorization Algorithm 33%