Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2017
Abstract
Top-k processing is a well-studied problem with numerous applications that is becoming increasingly relevant with the growing availability of recommendation systems and decision-making software. The objective of this tutorial is twofold. First, we will delve into the geometric aspects of top-k processing. Second, we will cover complementary features to top-k queries, with strong practical relevance and important applications, that have a computational geometric nature. The tutorial will close with insights in the effect of dimensionality on the meaningfulness of top-k queries, and interesting similarities to nearest neighbor search.
Discipline
Databases and Information Systems | Data Storage Systems
Research Areas
Data Science and Engineering
Publication
Proceedings of the VLDB Endowment: 43rd VLDB, Munich, Germany, August 28-September 1, 2017
Volume
10
First Page
1985
Last Page
1987
Identifier
10.14778/3137765.3137826
Publisher
VLDB
City or Country
Munich, Germany
Citation
MOURATIDIS, Kyriakos.
Geometric approaches for Top-k Queries [Tutorial]. (2017). Proceedings of the VLDB Endowment: 43rd VLDB, Munich, Germany, August 28-September 1, 2017. 10, 1985-1987.
Available at: https://ink.library.smu.edu.sg/sis_research/3760
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.14778/3137765.3137826