Volzhanin, Igor and Hahn, Ulrike and Zhang, Dell and Hartmann, S. (2017) Rank aggregation and belief revision dynamics. In: UNSPECIFIED (ed.) Proceedings of the 39th Annual Meeting of the Cognitive Science Society. Cognitive Science Society, pp. 3454-3459. ISBN 9780991196760.
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Abstract
In this paper, we compare several popular rank aggregation methods by the accuracy of finding the true (correct) ranked list. Our research reveals that under most common circumstances simple methods such as the average or majority actually tend to outperform computationally-intensive distance-based methods. We then conduct a study to compare how actual people aggregate ranks in a group setting. Our finding is that individuals tend to adopt the group mean in a third of all revisions, making it the most popular strategy for belief revision.
Metadata
| Item Type: | Book Section |
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| Keyword(s) / Subject(s): | rank aggregation, distance measure, probabilistic model |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab, Cognition, Computation and Modelling, Centre for, Data Analytics, Birkbeck Institute for |
| Depositing User: | Dell Zhang |
| Date Deposited: | 04 Oct 2017 14:10 |
| Last Modified: | 09 Aug 2025 05:00 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/18785 |
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