An optimization model for product placement on product listing pages
type: Item
instance of: scholarly article
title: An optimization model for product placement on product listing pages
zbMATH Open document ID: 1302.90109
DOI: 10.1155/2014/357693
author: Yan-Kwang Chen
author: Fei-Rung Chiu
author: Ciao-Jyun Yang
published in: Advances in Operations Research
publication date: 2014-11-17T00:00:00Z
review text: Summary: The design of product listing pages is a key component of Website design because it has significant influence on the sales volume on a Website. This study focuses on product placement in designing product listing pages. Product placement concerns how venders of online stores place their products over the product listing pages for maximization of profit. This problem is very similar to the offline shelf management problem. Since product information sources on a Web page are typically communicated through the text and image, visual stimuli such as color, shape, size, and spatial arrangement often have an effect on the visual attention of online shoppers and, in turn, influence their eventual purchase decisions. In view of the above, this study synthesizes the visual attention literature and theory of shelf-space allocation to develop a mathematical programming model with genetic algorithms for finding optimal solutions to the focused issue. The validity of the model is illustrated with example problems.
Mathematics Subject Classification ID: 90B90
Mathematics Subject Classification ID: 90B60
zbMATH DE Number: 6370021
Wikidata QID: Q59047857
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/357693
OpenAlex ID: W1974827341
cites work: Robust Ordering of Sparse Matrices using Multisection
cites work: Product selection and space allocation in supermarkets
cites work: An efficient algorithm to allocate shelf space
cites work: Q4692508
DBLP publication ID: journals/advor/ChenCY14
description: scientific article; zbMATH DE number 6370021