A novel evolution-based recommendation system

Business & Economics

• Matrix Factorization 100%
• Recommendation System 84%
• Recurrent Neural Networks 66%
• Evolution of Preferences 24%
• Learning Model 23%
• Latent Factors 20%
• User Preferences 19%
• Rating 14%
• Prediction 12%
• Experiment 9%

Engineering & Materials Science

• Recommender systems 61%
• Factorization 61%
• Recurrent neural networks 47%
• Experiments 5%