Active learning for online training in imbalanced data streams under cold start.
Ricardo BarataMiguel LeiteRicardo PachecoMarco O. P. SampaioJoão Tiago AscensãoPedro BizarroPublished in: CoRR (2021)
Keyphrases
- online training
- cold start
- active learning
- data streams
- online learning
- recommender systems
- collaborative filtering
- cold start problem
- data sparsity
- technical support
- tag recommendation
- implicit feedback
- e learning
- transfer learning
- human machine interaction
- user preferences
- learning strategies
- learning algorithm
- learning process
- machine learning
- relevance feedback
- training set
- supervised learning
- personalized recommendation
- user ratings
- motor imagery
- sensor data
- recommendation algorithms
- data sparseness
- labeled data
- unlabeled data
- semi supervised
- signal processing
- teacher training
- data sets
- web search
- user feedback
- matrix factorization
- distance learning