Proportional Rankings
Authors: Piotr Skowron, Martin Lackner, Markus Brill, Dominik Peters, Edith Elkind
IJCAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We define what it means for rankings to be proportional, provide bounds for well-known aggregation rules, and experimentally evaluate the performance of these rules. |
| Researcher Affiliation | Academia | Piotr Skowron TU Berlin, Germany p.k.skowron@gmail.com Martin Lackner University of Oxford, UK martin.lackner@cs.ox.ac.uk Markus Brill TU Berlin, Germany markus.brill@campus.tu-berlin.de Dominik Peters University of Oxford, UK dominik.peters@cs.ox.ac.uk Edith Elkind University of Oxford, UK edith.elkind@cs.ox.ac.uk |
| Pseudocode | No | The paper describes algorithms and rules in text and mathematical notation but does not include explicit pseudocode blocks or algorithms labeled as such. |
| Open Source Code | No | The paper does not provide any explicit statement or link regarding the availability of open-source code for the methodology described. |
| Open Datasets | Yes | In total, our experiments are based on 315,500 instances. Due to space constraints we only give a very brief description of the experiments and a short discussion of what we learned. A more complete description of the experimental setting and an analysis of the results are provided in the full version of the paper [Skowron et al., 2016]. real-world preference data sets taken from Pref Lib [Mattei and Walsh, 2013] |
| Dataset Splits | No | The paper mentions the total number of instances (315,500) and that they are from various models and real-world datasets, but it does not specify how these instances were split into training, validation, or test sets, nor does it describe any cross-validation setup. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used to run the experiments (e.g., CPU, GPU models, or cloud resources). |
| Software Dependencies | No | The paper mentions rules like "Seq PAV" and "p-geometric rule" but does not specify any software names with version numbers or programming languages/libraries used for their implementation. |
| Experiment Setup | No | The paper describes the |