MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions

Hosseini, Hadi; Jing, Yubo; Singh, Ronak

doi:10.24963/ijcai.2025/1261

MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Demo Track. Pages 11053-11057.

https://doi.org/10.24963/ijcai.2025/1261

Keywords

Agent-based and Multi-agent Systems: MAS: Engineering methods, platforms, languages and tools
Game Theory and Economic Paradigms: GTEP: Computational social choice
Humans and AI: HAI: Human-AI collaboration
Game Theory and Economic Paradigms: GTEP: Auctions and market-based systems

Abstract

Matching markets, where agents are assigned to one another based on preferences and constraints, are fundamental in various AI-driven applications such as school choice, content matching, and recommender systems. A key challenge in these markets is understanding preference data, as the interpretability of algorithmic solutions hinges on accurately capturing and explaining preferences. We introduce MatchXplain, a platform that integrates preference explanation with a robust matching engine. MatchXplain offers a layered approach for explaining preferences, computing diverse matching solutions, and providing interactive visualizations to enhance user understanding. By bridging algorithmic decision-making with explainability, MatchXplain improves transparency and trust in algorithmic matching markets.

Hadi Hosseini, Yubo Jing, and Ronak Singh. 2025. MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 11053–11057. https://doi.org/10.24963/ijcai.2025/1261

@inproceedings{ijcai2025p1261,
  title     = {MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions},
  author    = {Hosseini, Hadi and Jing, Yubo and Singh, Ronak},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {James Kwok},
  pages     = {11053--11057},
  year      = {2025},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2025/1261},
  url       = {https://doi.org/10.24963/ijcai.2025/1261},
}

TY  - CPAPER
TI  - MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions
AU  - Hosseini, Hadi
AU  - Jing, Yubo
AU  - Singh, Ronak
T2  - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2025
SP  - 11053
EP  - 11057
DO  - 10.24963/ijcai.2025/1261
UR  - https://doi.org/10.24963/ijcai.2025/1261
ER  -