Geometric approaches for Top-k Queries [Tutorial]

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 proce...

Full description

Saved in:

Bibliographic Details
Main Author:	MOURATIDIS, Kyriakos
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2017
Subjects:	Databases and Information Systems Data Storage Systems
Online Access:	https://ink.library.smu.edu.sg/sis_research/3760 https://ink.library.smu.edu.sg/context/sis_research/article/4762/viewcontent/VLDB17_Tutorial.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-4762
record_format	dspace
spelling	sg-smu-ink.sis_research-47622018-04-04T09:38:10Z Geometric approaches for Top-k Queries [Tutorial] MOURATIDIS, Kyriakos 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. 2017-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3760 info:doi/10.14778/3137765.3137826 https://ink.library.smu.edu.sg/context/sis_research/article/4762/viewcontent/VLDB17_Tutorial.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Data Storage Systems
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Databases and Information Systems Data Storage Systems
spellingShingle	Databases and Information Systems Data Storage Systems MOURATIDIS, Kyriakos Geometric approaches for Top-k Queries [Tutorial]
description	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.
format	text
author	MOURATIDIS, Kyriakos
author_facet	MOURATIDIS, Kyriakos
author_sort	MOURATIDIS, Kyriakos
title	Geometric approaches for Top-k Queries [Tutorial]
title_short	Geometric approaches for Top-k Queries [Tutorial]
title_full	Geometric approaches for Top-k Queries [Tutorial]
title_fullStr	Geometric approaches for Top-k Queries [Tutorial]
title_full_unstemmed	Geometric approaches for Top-k Queries [Tutorial]
title_sort	geometric approaches for top-k queries [tutorial]
publisher	Institutional Knowledge at Singapore Management University
publishDate	2017
url	https://ink.library.smu.edu.sg/sis_research/3760 https://ink.library.smu.edu.sg/context/sis_research/article/4762/viewcontent/VLDB17_Tutorial.pdf
_version_	1770573714205704192

Geometric approaches for Top-k Queries [Tutorial]

Similar Items