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Introduction
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Classroom Contents
Popularity and Demographic Biases in Recommender Systems
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- 1 Introduction
- 2 Core Question
- 3 What is a Recommender
- 4 How do we make sure systems are good for everyone
- 5 What are we looking at
- 6 Vocabulary
- 7 Valuation Strategies
- 8 Data
- 9 Datasets
- 10 Results
- 11 Algorithms
- 12 Initial Results
- 13 Profile Size
- 14 Resampling
- 15 Popularity Bias
- 16 Fixing Popularity Bias
- 17 Limitations
- 18 Upcoming Workshops
- 19 Questions
- 20 Recommendations
- 21 Systematic differences
