Rianto, Rianto Pattern Discovery of Indonesian Customers in an Online Shop: A Case of Fashion Online Shop. ICITACEE 2016. ISSN 978-1-5090-1434-7
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Abstract
The amount of information displayed on an online shop could distract consumers' focus that might result in customer leaving the website or canceling transaction. Recommendation that provides customers with relevant products is required to make a decision easy for a wide variety of products. Relevancy of products for a customer can be achieved through user patterns discovery. This study aims to develop a user model to provide personalization on e-commerce based on customers group. This study involved 100 participants divided into 25 girls, 25 adult females, 25 boys, and 25 adult males. Data collection was performed using an e-commerce website i.e. http://www.erstore.biz to record users' activity. Data analyzed was done using the RapidMiner Studio 5 to provide a decision tree as user model grouped by age and gender. We found that male and female users among different age groups have different patterns in recognizing process. Female users have a shorter process in the identification of age group than male users.
| Item Type: | Article |
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| Subjects: | T Technology > T Technology (General) > T201 Patents. Trademarks |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Rianto Rianto |
| Date Deposited: | 18 Apr 2019 06:27 |
| Last Modified: | 18 Apr 2019 06:27 |
| URI: | http://eprints.uty.ac.id/id/eprint/2751 |
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