Research - Applied Machine Learning Research Lab
Research Areas
- Machine Learning and Large-scale Data Analysis
- Information Retrieval
- Social Media and Personalization
- Large-scale Commercial Recommender Systems
- Conversational Recommender Systems
- Sequential Decision Optimization
- Fairness, Accountability, Transparency, and Ethics in AI
Current and Past Research Projects
- Asynchronoush Asymmetric User Profile Updating System (AAUPU) for Twitter
- Noise Contrastive Estimation based Projected Linear Recommender for Loblaws Digital
- Criqituing-based Conversational Recommender Systems