Conference Proceeding Article
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.
Databases and Information Systems | Data Storage Systems
Data Management and Analytics
Proceedings of the VLDB Endowment: 43rd VLDB, Munich, Germany, August 28-September 1, 2017
City or Country
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. Research Collection School Of Information Systems.
Available at: http://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 License.