Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top- <i>k</i> Selection'
The experimental evaluation of the paper has been successfully reproduced. The reproduced plots are similar to those in the paper, supporting the claims made by the authors. The provided scripts and instructions simplify the reproducibility process, but running all experiments takes multiple days.
Authors
- Kyle Deeds (ORCID: https://orcid.org/0000-0003-2267-3276)
- M. Hüttner (ORCID: https://orcid.org/0000-0003-3562-0405)
- Yuxuan Zhu (ORCID: https://orcid.org/0009-0001-6738-8930)
Institutions
- University of Illinois Urbana-Champaign (US)
- University of Washington (US)
- Technische Universität Darmstadt (DE)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1145/3687998.3717052
- Primary Topic
- Machine Learning and Data Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00