Tutorial on Fairness of Machine Learning in Recommender Systems.
Yunqi LiYingqiang GeYongfeng ZhangPublished in: SIGIR (2021)
Keyphrases
- recommender systems
- machine learning
- application of machine learning methods
- collaborative filtering
- information extraction
- machine learning algorithms
- machine learning methods
- learning algorithm
- knowledge discovery
- user preferences
- knowledge acquisition
- computational intelligence
- user model
- user modeling
- pattern recognition
- data mining
- learning problems
- matrix factorization
- resource allocation
- cold start problem
- computer vision
- user profiles
- information filtering
- decision trees
- user profiling
- implicit feedback
- inductive logic programming
- supervised learning
- learning tasks
- machine learning approaches
- semi supervised learning
- trust aware
- recommendation quality
- reinforcement learning
- cold start
- model selection
- learning systems
- natural language
- information overload
- recommendation systems
- text classification
- computer science
- data analysis
- active learning