Preference Analysis and Default Optimization in Web-based Product Configuration Systems

Today, more and more companies are providing web-based product configuration systems in order to better meet individual customer preferences. In many cases, pre-defined product specifications are additionally offered to facilitate the corresponding choice decisions. Against this background, we prese...

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Autores principales: Decker,Reinhold, Scholz,Sören W
Lenguaje:English
Publicado: Universidad de Talca 2009
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762009000300005
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spelling oai:scielo:S0718-187620090003000052018-10-12Preference Analysis and Default Optimization in Web-based Product Configuration SystemsDecker,ReinholdScholz,Sören W Customization Genetic Algorithm Poisson Regression Preference Analysis Product Configuration Web Usage Data Today, more and more companies are providing web-based product configuration systems in order to better meet individual customer preferences. In many cases, pre-defined product specifications are additionally offered to facilitate the corresponding choice decisions. Against this background, we present a Poisson regression approach for analyzing customer preferences and a genetic algorithm for determining preference-based default products. The basis for this is transaction data, as they are automatically generated when configuring a product online. The potentials of the suggested methodology are demonstrated by means of two case studies referring to different product categories.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.4 n.3 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762009000300005en10.4067/S0718-18762009000300005
institution Scielo Chile
collection Scielo Chile
language English
topic Customization
Genetic Algorithm
Poisson Regression
Preference Analysis
Product Configuration
Web Usage Data
spellingShingle Customization
Genetic Algorithm
Poisson Regression
Preference Analysis
Product Configuration
Web Usage Data
Decker,Reinhold
Scholz,Sören W
Preference Analysis and Default Optimization in Web-based Product Configuration Systems
description Today, more and more companies are providing web-based product configuration systems in order to better meet individual customer preferences. In many cases, pre-defined product specifications are additionally offered to facilitate the corresponding choice decisions. Against this background, we present a Poisson regression approach for analyzing customer preferences and a genetic algorithm for determining preference-based default products. The basis for this is transaction data, as they are automatically generated when configuring a product online. The potentials of the suggested methodology are demonstrated by means of two case studies referring to different product categories.
author Decker,Reinhold
Scholz,Sören W
author_facet Decker,Reinhold
Scholz,Sören W
author_sort Decker,Reinhold
title Preference Analysis and Default Optimization in Web-based Product Configuration Systems
title_short Preference Analysis and Default Optimization in Web-based Product Configuration Systems
title_full Preference Analysis and Default Optimization in Web-based Product Configuration Systems
title_fullStr Preference Analysis and Default Optimization in Web-based Product Configuration Systems
title_full_unstemmed Preference Analysis and Default Optimization in Web-based Product Configuration Systems
title_sort preference analysis and default optimization in web-based product configuration systems
publisher Universidad de Talca
publishDate 2009
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762009000300005
work_keys_str_mv AT deckerreinhold preferenceanalysisanddefaultoptimizationinwebbasedproductconfigurationsystems
AT scholzsorenw preferenceanalysisanddefaultoptimizationinwebbasedproductconfigurationsystems
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