Master’s Thesis Presentation • Data Systems — Refresh Strategies for Continuous Active Learning
Nimesh Ghelani, Master’s candidate
David R. Cheriton School of Computer Science
High recall information retrieval is crucial to tasks such as electronic discovery and systematic review. Continuous Active Learning (CAL) is a technique where a human assessor works in loop with a machine learning model; the model presents a set of documents likely to be relevant and the assessor provides relevance feedback.