Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2019
Abstract
We present a common approach for handling consumer and provider fairness in recommendations. Our solution requires defining two key components, a classification of items and a target distribution, which together define the case of perfect fairness. This formulation allows distinct fairness concepts to be specified in a common framework. We further propose a novel reranking algorithm that optimizes for a desired trade-off between utility and fairness of a recommendation list.
Keywords
Fairness, Recommender systems
Discipline
E-Commerce | Theory and Algorithms
Research Areas
Intelligent Systems and Optimization
Publication
ACM RecSys'19: Late-Breaking Results (Posters), September 16-20, Copenhagen, Denmark
Volume
2431
First Page
1
Last Page
5
ISBN
9781450362436
Identifier
10.1145/3298689.3346970
Publisher
ACM
City or Country
New York
Citation
Sacharidis, Dimitris; MOURATIDIS, Kyriakos; and Kleftogiannis, Dimitrios.
A common approach for consumer and provider fairness in recommendations. (2019). ACM RecSys'19: Late-Breaking Results (Posters), September 16-20, Copenhagen, Denmark. 2431, 1-5.
Available at: https://ink.library.smu.edu.sg/sis_research/6943
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3298689.3346970