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 |
---|---|
Pages (from-to) | 4341-4344 |
Number of pages | 4 |
Journal | Proceedings of the VLDB Endowment |
Volume | 17 |
Issue number | 12 |
DOIs | |
State | Published - 1 Jan 2024 |
Event | 50th International Conference on Very Large Data Bases, VLDB 2024 - Guangzhou, China Duration: 24 Aug 2024 → 29 Aug 2024 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- General Computer Science