Analyzing the Efficiency of Recommender Systems Using Machine Learning.
Daniel GonzálezLibertad TansiniPublished in: WorldCIST (1) (2022)
Keyphrases
- recommender systems
- machine learning
- pattern recognition
- machine learning methods
- collaborative filtering
- artificial intelligence
- learning systems
- user preferences
- natural language processing
- text mining
- knowledge acquisition
- computational complexity
- learning algorithm
- information extraction
- decision trees
- reinforcement learning
- recommendation quality
- data sparsity
- machine learning approaches
- information overload
- inductive learning
- matrix factorization
- learning tasks
- machine learning algorithms
- semi supervised learning
- text classification
- computational intelligence
- neural network
- active learning
- support vector machine
- supervised learning