Evaluating, Understanding, and Mitigating Unfairness in Recommender Systems
Recommender systems are information filtering tools that discover potential matchings between users and items and benefit both parties. This benefit can be considered a social resource that should be equitably allocated across users and items, especially in critical domains such as education and emp...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Published: |
Virginia Tech
2021
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10919/103779 |