Announced details
Compared with CoupLink's previous method, addressed the excessive concentration of recommendations and likes among the top 0.1% of users.
MiDATA, a subsidiary of リンクバル, and UTMD conducted joint research. リンクバル operates CoupLink, and MiDATA implemented the algorithm.
7-3-1 Hongo, Bunkyo-ku, Tokyo. The center is headed by Professor Kojima Takehito (小島武仁) and is a research hub at The University of Tokyo focused on matching theory, auction theory and their practical implementation in society.
The successful demonstration is described as proof of the practical applicability of matching theory to structural issues affecting two-sided platforms, with plans to roll it out across individual businesses. The specific impact on revenue and profit is Not disclosed.
The company does not address Contract Value / Offering price.
arXiv
University of Tokyo Market Design Center (UTMD) website
| Item | Details |
|---|---|
| Names of Products / Services Covered | CoupLink (matching app), ECDA (Exposure-Constrained Deferred Acceptance; exposure-constrained deferred acceptance mechanism) |
| Counterparty | Market Design Center, affiliated with the Graduate School of Economics, The University of Tokyo (UTMD) |
| Counterparty overview | 7-3-1 Hongo, Bunkyo-ku, Tokyo. The center is headed by Professor Kojima Takehito (小島武仁) and is a research hub at The University of Tokyo focused on matching theory, auction theory and their practical implementation in society. |
| Relationship with the Company | MiDATA, a subsidiary of リンクバル, and UTMD conducted joint research. リンクバル operates CoupLink, and MiDATA implemented the algorithm. |
| Applicable area | Matching apps, Two-sided platforms, Job sites, Freelance intermediation |
| Quantitative Effects | Compared with CoupLink's previous method, addressed the excessive concentration of recommendations and likes among the top 0.1% of users. |
| Impact on Business Performance | The successful demonstration is described as proof of the practical applicability of matching theory to structural issues affecting two-sided platforms, with plans to roll it out across individual businesses. The specific impact on revenue and profit is Not disclosed. |
| Source | arXiv, University of Tokyo Market Design Center (UTMD) website |
Items this document does not state (10)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.Under the previous recommendation method, recommendations and likes were concentrated on popular users, causing congestion, inefficiency and inequality, with ordinary users becoming less visible. MiDATA sought to address these issues by combining UTMD's matching theory with its AI implementation capabilities.