Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings
Summary: Introduces uncertain top-k queries for linear multi-criteria rankings when user weights are bounded or imprecise, returning every option that may enter the top-k. Provides scalable exact processing for both possible-membership and per-weight top-k sets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kyriakos Mouratidis (Singapore Management University)
- 2. Bo Tang (Southern University of Science and Technology)
BibTeX Citation
@article{mouratidis_vldb18,
title = {{Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings}},
author = {Mouratidis, Kyriakos and Tang, Bo},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {8},
pages = {866--879},
doi = {10.14778/3204028.3204031},
url = {https://doi.org/10.14778/3204028.3204031},
year = {2018}
}
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