Matching Theory-based Recommender Systems in Online Dating
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Abstract (arXiv)
Online dating platforms provide people with the opportunity to find a partner. Recommender systems in online dating platforms suggest one side of users to the other side of users. We discuss the potential interactions between reciprocal recommender systems (RRSs) and matching theory. We present our ongoing project to deploy a matching theory-based recommender system (MTRS) in a real-world online dating platform.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Aug 2022.
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Citing papers per year: 2024: 3; 2025: 1.
4 papers.
- 2024Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Methodcited by 5
- 2024Recommender Systems for Sustainability: Overview and Research Issuescited by 5
- 2025Off-Policy Evaluation and Learning for Matching Marketscited by 2
- 2024CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platformcited by 0
- 2025Off-Policy Evaluation and Learning for Matching Markets18 Jul 2025
- 2024Recommender Systems for Sustainability: Overview and Research Issues4 Dec 2024
- 2024CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform8 Oct 2024
- 2024Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method19 Aug 2024