Publication Type

Conference Proceeding Article

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 Management and Analytics

Publication

Proceedings of the VLDB Endowment: 43rd VLDB, Munich, Germany, August 28-September 1, 2017

Volume

10

First Page

1985

Last Page

1987

Publisher

VLDB

City or Country

Munich, Germany

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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