Abstract
Database queries are commonly used to select and rank items. With the increasing awareness of diversity, ensuring a diverse output (i.e., the representation of different groups in the top-k positions) becomes essential. To address this challenge, we present Rodeo, a system that generates minimal modifications to queries to enhance the diversity of the ranking they produce based on constraints over groups’ representation in the top-k for various k values.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 4341-4344 |
| Number of pages | 4 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 17 |
| Issue number | 12 |
| DOIs | |
| State | Published - 2024 |
| Event | 50th International Conference on Very Large Data Bases, VLDB 2024 - Guangzhou, China Duration: Aug 25 2024 → Aug 29 2024 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- General Computer Science