Fair Reciprocal Recommendation in Matching Markets
Year: 2024
Type: conference-paper
Abstract: Recommender systems play an increasingly crucial role in shaping people’s opportunities, particularly in online dating platforms. It is essential from the user’s perspective to increase the probability of matching with a suitable partner while ensuring an appropriate level of fairness in the matching opportunities.
Authors: Yoji Tomita, Tomohiko Yokoyama
Institutions: CyberAgent (Japan), The University of Tokyo
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: hybrid
OpenAlex ID: W4403219747
