Adversarial Machine Learning in Recommender Systems: State of the art and Challenges.
Yashar DeldjooTommaso Di NoiaFelice Antonio MerraPublished in: CoRR (2020)
Keyphrases
- recommender systems
- machine learning
- collaborative filtering
- lessons learned
- open issues
- machine learning methods
- learning systems
- pattern recognition
- machine learning approaches
- data sets
- learning algorithm
- feature selection
- real world
- active learning
- knowledge acquisition
- learning tasks
- computer science
- matrix factorization
- multi agent
- computer vision
- data mining
- inductive learning
- key issues
- text mining
- information overload
- technical challenges
- user preferences
- user profiles
- user profiling
- information extraction
- natural language
- interdisciplinary field
- user modeling
- model selection
- user interests
- user model
- transfer learning
- text classification
- artificial intelligence
- neural network