A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining

Retailer revenue is significantly impacted by item placement in retail stores. Notably, placement of items in the <italic>premium</italic> slots (i.e., slots with increased visibility/accessibility) improves the probability of sale w.r.t. item placement in non-premium slots. Moreover, cu...

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Autores principales:	Anirban Mondal, Samant Saurabh, Parul Chaudhary, Raghav Mittal, Polepalli Krishna Reddy
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Utility mining product placement itemset placement retail management revenue slot premiumness Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/88075d87b5f54f0788bac779ccb0cf27
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spelling	oai:doaj.org-article:88075d87b5f54f0788bac779ccb0cf272021-11-26T00:01:36ZA Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining2169-353610.1109/ACCESS.2021.3128074https://doaj.org/article/88075d87b5f54f0788bac779ccb0cf272021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9614184/https://doaj.org/toc/2169-3536Retailer revenue is significantly impacted by item placement in retail stores. Notably, placement of items in the <italic>premium</italic> slots (i.e., slots with increased visibility/accessibility) improves the probability of sale w.r.t. item placement in non-premium slots. Moreover, customers often tend to buy sets of items (i.e., itemsets) instead of individual purchases. In this paper, we address the problem of maximizing retailer revenue by determining the placement of itemsets in different types of slots with varied <italic>premiumness</italic>. Our key contributions are as follows. First, we introduce the notion of <italic>premiumness of retail slots</italic> and discuss the issue of itemset placement in slots with varied premiumness. Second, we propose two <italic>efficient</italic> schemes, namely <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>remiumness and <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula>evenue-based <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>temset <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>lacement (PRIP) and <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>remiumness and <inline-formula> <tex-math notation="LaTeX">${A}$ </tex-math></inline-formula>verage <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula>evenue-based <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>temset <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>lacement (PARIP), for placing itemsets with varying revenue in slots with varied premiumness. Third, we perform a detailed performance analysis using both real and synthetic datasets to showcase the effectiveness of our proposed schemes. We also perform a comprehensive mathematical analysis of our proposed schemes w.r.t. the complexity analysis.Anirban MondalSamant SaurabhParul ChaudharyRaghav MittalPolepalli Krishna ReddyIEEEarticleUtility miningproduct placementitemset placementretail managementrevenueslot premiumnessElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155207-155223 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Utility mining product placement itemset placement retail management revenue slot premiumness Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Utility mining product placement itemset placement retail management revenue slot premiumness Electrical engineering. Electronics. Nuclear engineering TK1-9971 Anirban Mondal Samant Saurabh Parul Chaudhary Raghav Mittal Polepalli Krishna Reddy A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining
description	Retailer revenue is significantly impacted by item placement in retail stores. Notably, placement of items in the <italic>premium</italic> slots (i.e., slots with increased visibility/accessibility) improves the probability of sale w.r.t. item placement in non-premium slots. Moreover, customers often tend to buy sets of items (i.e., itemsets) instead of individual purchases. In this paper, we address the problem of maximizing retailer revenue by determining the placement of itemsets in different types of slots with varied <italic>premiumness</italic>. Our key contributions are as follows. First, we introduce the notion of <italic>premiumness of retail slots</italic> and discuss the issue of itemset placement in slots with varied premiumness. Second, we propose two <italic>efficient</italic> schemes, namely <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>remiumness and <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula>evenue-based <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>temset <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>lacement (PRIP) and <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>remiumness and <inline-formula> <tex-math notation="LaTeX">${A}$ </tex-math></inline-formula>verage <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula>evenue-based <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>temset <inline-formula> <tex-math notation="LaTeX">${P}$ </tex-math></inline-formula>lacement (PARIP), for placing itemsets with varying revenue in slots with varied premiumness. Third, we perform a detailed performance analysis using both real and synthetic datasets to showcase the effectiveness of our proposed schemes. We also perform a comprehensive mathematical analysis of our proposed schemes w.r.t. the complexity analysis.
format	article
author	Anirban Mondal Samant Saurabh Parul Chaudhary Raghav Mittal Polepalli Krishna Reddy
author_facet	Anirban Mondal Samant Saurabh Parul Chaudhary Raghav Mittal Polepalli Krishna Reddy
author_sort	Anirban Mondal
title	A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining
title_short	A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining
title_full	A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining
title_fullStr	A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining
title_full_unstemmed	A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining
title_sort	retail itemset placement framework based on premiumness of slots and utility mining
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/88075d87b5f54f0788bac779ccb0cf27
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A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining

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