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In this project, a group of scholars in computer science and business proposes using state-of-the-art machine learning methods for secondary-data-based persona construction and preference prediction. Specifically, the researchers will use recent data dimension reduction methods to process the raw data, use new machine learning models to achieve better learning results, and use self-supervised technology and unsupervised clustering technology to achieve efficiency in model training and learning.
Yimin Yang;Will Zhao
PTPA Media Inc
Computer science
Professional, scientific and technical services
Lakehead University
Accelerate
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