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Business-Oriented User Persona Construction and Preference Prediction: A Big Data-Based Machine Learning Approach
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.
Faculty Supervisor:
Yimin Yang;Will Zhao
Student:
Partner:
PTPA Media Inc
Discipline:
Computer science
Sector:
Professional, scientific and technical services
University:
Lakehead University
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.