Quantifying the competitiveness of a dataset in relation to general preferences

Typically, a specific market (e.g., of hotels, restaurants, laptops, etc.) is represented as a multi-attribute dataset of the available products. The topic of identifying and shortlisting the products of most interest to a user has been well-explored. In contrast, in this work we focus on the datase...

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Main Authors: MOURATIDIS, Kyriakos, LI, Keming, TANG, Bo
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Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/8264
https://ink.library.smu.edu.sg/context/sis_research/article/9267/viewcontent/VLDBJ23_Heatmap_av.pdf
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spelling sg-smu-ink.sis_research-92672024-03-15T04:58:22Z Quantifying the competitiveness of a dataset in relation to general preferences MOURATIDIS, Kyriakos LI, Keming TANG, Bo Typically, a specific market (e.g., of hotels, restaurants, laptops, etc.) is represented as a multi-attribute dataset of the available products. The topic of identifying and shortlisting the products of most interest to a user has been well-explored. In contrast, in this work we focus on the dataset, and aim to assess its competitiveness with regard to different possible preferences. We define measures of competitiveness, and represent them in the form of a heat-map in the domain of preferences. Our work finds application in market analysis and in business development. These applications are further enhanced when the competitiveness heat-map is used in tandem with information on user preferences (which can be readily derived by existing methods). Interestingly, our study also finds side-applications with strong practical relevance in the area of multi-objective querying. We propose a suite of algorithms to efficiently produce the heat-map, and conduct case studies and an empirical evaluation to demonstrate the practicality of our work. 2024-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8264 info:doi/10.1007/s00778-023-00804-1 https://ink.library.smu.edu.sg/context/sis_research/article/9267/viewcontent/VLDBJ23_Heatmap_av.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 heat-map preference queries multi-dimensional data market analysis Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic heat-map
preference queries
multi-dimensional data
market analysis
Databases and Information Systems
spellingShingle heat-map
preference queries
multi-dimensional data
market analysis
Databases and Information Systems
MOURATIDIS, Kyriakos
LI, Keming
TANG, Bo
Quantifying the competitiveness of a dataset in relation to general preferences
description Typically, a specific market (e.g., of hotels, restaurants, laptops, etc.) is represented as a multi-attribute dataset of the available products. The topic of identifying and shortlisting the products of most interest to a user has been well-explored. In contrast, in this work we focus on the dataset, and aim to assess its competitiveness with regard to different possible preferences. We define measures of competitiveness, and represent them in the form of a heat-map in the domain of preferences. Our work finds application in market analysis and in business development. These applications are further enhanced when the competitiveness heat-map is used in tandem with information on user preferences (which can be readily derived by existing methods). Interestingly, our study also finds side-applications with strong practical relevance in the area of multi-objective querying. We propose a suite of algorithms to efficiently produce the heat-map, and conduct case studies and an empirical evaluation to demonstrate the practicality of our work.
format text
author MOURATIDIS, Kyriakos
LI, Keming
TANG, Bo
author_facet MOURATIDIS, Kyriakos
LI, Keming
TANG, Bo
author_sort MOURATIDIS, Kyriakos
title Quantifying the competitiveness of a dataset in relation to general preferences
title_short Quantifying the competitiveness of a dataset in relation to general preferences
title_full Quantifying the competitiveness of a dataset in relation to general preferences
title_fullStr Quantifying the competitiveness of a dataset in relation to general preferences
title_full_unstemmed Quantifying the competitiveness of a dataset in relation to general preferences
title_sort quantifying the competitiveness of a dataset in relation to general preferences
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/8264
https://ink.library.smu.edu.sg/context/sis_research/article/9267/viewcontent/VLDBJ23_Heatmap_av.pdf
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