Two-Sided Matching over Social Networks
Authors: Sung-Ho Cho, Taiki Todo, Makoto Yokoo
IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We proposed three mechanisms and showed that no mechanism is better than these mechanisms, i.e., they are in the Pareto frontier according to the set of properties defined in this paper. This section presents seven impossibility results, each of which shows the incompatibility of different combinations of the properties in our model. |
| Researcher Affiliation | Academia | Sung-Ho Cho, Taiki Todo, and Makoto Yokoo Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, 819-0395 Japan |
| Pseudocode | No | The paper describes the proposed mechanisms (OSCO, Seq DA, Seq TTC) using definitions and prose descriptions of steps, but does not present them in structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement about releasing source code or links to a code repository. |
| Open Datasets | No | The paper focuses on theoretical mechanism design and does not use or reference any datasets for training. |
| Dataset Splits | No | The paper focuses on theoretical mechanism design and does not mention validation sets or data splits for validation. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments, thus no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not describe any experiments, thus no software dependencies are mentioned. |
| Experiment Setup | No | The paper is theoretical and does not describe any experiments, thus no experimental setup details are provided. |