Customized crowds and active learning to improve classification
Crowdsourcing as data source for classification. Capture the drift in user preferences in a recommendation system. Apply active strategies for adaptation to each user. Crowdsourcing to avoid excessive user feedback. Case study on humor classification.
active learning classification crowdsourcing