SURF: improving classifiers in production by learning from busy and noisy end users.
Joshua LockhartSamuel AssefaAyham AlajdadAndrew AlexanderTucker BalchManuela VelosoPublished in: ICAIF (2020)
Keyphrases
- end users
- case study
- learning process
- supervised learning
- user requirements
- machine learning algorithms
- web services
- reinforcement learning
- digital libraries
- user interface
- user experience
- learning tasks
- information transfer
- learning algorithm
- user driven
- search tools
- business intelligence
- web applications
- decision trees
- feature selection
- search engine