Using machine learning to augment collaborative filtering of community discussions.
Michael BrennanStacey WrazienRachel GreenstadtPublished in: AAMAS (2010)
Keyphrases
- collaborative filtering
- machine learning
- recommender systems
- data sparsity
- matrix factorization
- transfer learning
- active learning
- decision trees
- knowledge acquisition
- pattern recognition
- machine learning methods
- explanation based learning
- computational intelligence
- inductive logic programming
- feature selection
- learning tasks
- artificial intelligence
- user preferences
- model selection
- text mining
- data mining
- information extraction
- knowledge representation
- data analysis
- bayesian networks
- learning algorithm
- computer vision
- deal with information overload
- probabilistic matrix factorization
- exchange ideas
- latent factor models
- web communities
- personalized recommendation
- recommendation algorithms
- machine learning approaches
- virtual communities
- inductive learning
- supervised learning
- prediction accuracy