Personality-Based Personalization of Online Store Features Using Genetic Programming: Analysis and Experiment
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- @Article{Kazeminia:2019:jtaecr,
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author = "Alireza Kazeminia and Marjan Kaedi and
Beenazir Ganji",
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title = "Personality-Based Personalization of Online Store
Features Using Genetic Programming: Analysis and
Experiment",
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journal = "Journal of Theoretical and Applied Electronic Commerce
Research",
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year = "2019",
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volume = "14",
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number = "1",
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pages = "16--29",
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month = jan,
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keywords = "genetic algorithms, genetic programming,
Personalization, Online shopping, Personality,
Decision-making style",
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publisher = "Universidad de Talca, Chile",
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ISSN = "0718-1876",
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URL = "http://www.jtaer.com/portada.php?agno=2019&numero=1#",
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URL = "http://www.jtaer.com/statistics/download/download.php?co_id=JTA20190102",
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DOI = "doi:10.4067/S0718-18762019000100103",
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size = "14 pages",
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abstract = "The decisions made by the customers in online
environments are influenced by their personality
characteristics. Each customer in an online environment
relies more heavily on certain features of a store to
make decisions while ignoring others. Thus,
personalizing these features may streamline the
decision-making process and increase satisfaction. In
this paper, an intelligent method for personalizing the
features of an online store according to the users
personality is presented. In the proposed method, using
genetic programming several equations are developed to
estimate how users with different personality
characteristics prefer various features of an online
store. These equations are then used for
personalization of the store features to increase
customers satisfaction and persuade them to make larger
purchases. The evaluation on a sample of 194
individuals indicates that the obtained equations are
able to estimate the users preferences with over
80percent accuracy in most cases. In addition,
empirical assessment of the obtained equations shows
that the proposed personalization method improves the
user satisfaction.",
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notes = "University of Isfahan, Faculty of Computer
Engineering, Isfahan, Iran
www.jtaer.com",
- }
Genetic Programming entries for
Alireza Kazeminia
Marjan Kaedi
Beenazir Ganji
Citations