Popularity and Demographic Biases in Recommender Systems
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
Core Question
What is a Recommender
How do we make sure systems are good for everyone
What are we looking at
Vocabulary
Valuation Strategies
Data
Datasets
Results
Algorithms
Initial Results
Profile Size
Resampling
Popularity Bias
Fixing Popularity Bias
Limitations
Upcoming Workshops
Questions
Recommendations
Systematic differences
Taught by
ACM FAccT Conference