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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Universidad de Talca
2009
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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 |
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Scielo Chile |
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Scielo Chile |
language |
English |
topic |
Customization Genetic Algorithm Poisson Regression Preference Analysis Product Configuration Web Usage Data |
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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 |
_version_ |
1714202196611956736 |