An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration.
Alexander FelfernigViet Man LeAndrei PopescuMathias UtaThi Ngoc Trang TranMüslüm AtasPublished in: VaMoS (2021)
Keyphrases
- machine learning
- recommender systems
- collaborative filtering
- feature selection
- decision trees
- text classification
- matrix factorization
- pattern recognition
- feature vectors
- image features
- learning tasks
- recommendation quality
- user model
- inductive learning
- recommendation systems
- machine learning approaches
- explanation based learning
- user modeling
- data sets
- machine learning algorithms
- semi supervised learning
- text mining
- information extraction
- feature extraction
- computer vision
- artificial intelligence
- data mining
- neural network