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dc.contributor.advisorShyu, Chi-Reneng
dc.contributor.authorChen, Ming-Changeng
dc.date.issued2007eng
dc.date.submitted2007 Falleng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file (viewed on March 21, 2008)eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2007.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Computer science.eng
dc.description.abstractIn the past decade, the virtual reality (VR) technique has been becoming a popular marketing tool on e-commerce websites, where the consumers are allowed to interact with the products and have a vivid shopping experience simulated to the real world. Despite of the advantages, VR shopping is still at its early stage due to some difficulties, namely, 1) complex communication among VR components, backend relational databases, and web services, 2) meaningful interpretation of mined patterns into the user behavior through VR tools, and 3) vast amount of information to mine and efficient summarization of the results to guide user's navigation. To overcome these obstacles, several techniques from the fields of Information Retrieval and Data Mining & Knowledge Discovery have been adopted and extended for the development of our system that is able to recommend products computationally according to the user's preference. These techniques include ranking in a Vector-Space Model to profile user's behavior based on their demographic information and mining Association Rules to analyze user's choices as well as real-time navigational behavior. This system can adapt itself to meet each individual's interest progressively. It is our ultimate goal to provide a general framework that can be applied to any web-based e-commerce applications where customers can find the most fitting products efficiently and effectively under a virtual reality environment.eng
dc.identifier.merlinb62768463eng
dc.identifier.oclc213495667eng
dc.identifier.urihttps://hdl.handle.net/10355/4950
dc.identifier.urihttps://doi.org/10.32469/10355/4950eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2007 Theseseng
dc.subject.lcshVirtual realityeng
dc.subject.lcshElectronic commerceeng
dc.subject.lcshInformation retrievaleng
dc.subject.lcshData miningeng
dc.titleMining progressive user behavior for e-commerce using virtual reality techniqueeng
dc.typeThesiseng
thesis.degree.disciplineComputer science (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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