Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers.
Etienne BrangbourPierrick BruneauThomas TamisierStéphane Marchand-MailletPublished in: CDVE (2020)
Keyphrases
- active learning
- cold start
- rare class
- recommender systems
- class imbalance
- crowd sourced
- imbalanced data sets
- training examples
- cold start problem
- collaborative filtering
- training set
- minority class
- imbalanced datasets
- imbalanced data
- data sparsity
- training data
- support vector
- learning algorithm
- decision trees
- machine learning algorithms
- feature selection
- implicit feedback
- learning process
- supervised learning
- user ratings
- tag recommendation
- machine learning
- user profiles
- data sparseness
- labeled data
- feature set
- relevance feedback
- class distribution
- class labels
- information retrieval systems