Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77188
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dc.contributor.authorTan, Xing Yuan
dc.date.accessioned2019-05-15T06:18:41Z
dc.date.available2019-05-15T06:18:41Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10356/77188
dc.description.abstractThe webmaster has always trying to understand the profiles of the site visitors, especially for the business owners. With the improvement of technology, we can capture every interaction of the users and perform a detailed analysis of the site visitors. In this paper, we shall use a different technique to improve the conversion rate of Nzsale.com, which have found to be in the low 10%. A decision-making model of the subscribers basing browsing time was introduced. With the model, the faster users focused on user searches, and the slower users browse on sales banner more frequently. With this information, Nzsale can have a more focused target on the users to enhance conversion rate.en_US
dc.format.extent48 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Science::Physicsen_US
dc.titleUnderstanding user behaviour on an online retail websiteen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCheong Siew Annen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.description.degreeBachelor of Science in Physicsen_US
dc.contributor.organizationMySaleen_US
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Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)
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