An eCommerce platform for customized page design and content delivery

Author(s)
Narang, Aman
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Glen L. Urban.
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Abstract
As eCommerce becomes more prevalent, good site design that can cater to users with different backgrounds and experience becomes increasingly important. While many web based applications provide customized content, these systems do not adapt and provide a customized user experience as one navigates the site. Our research investigates customizing web applications to fit individual decision styles by morphing user experience based on revealed clicks, search history, and the navigation path through the site. By using a Bayesian update algorithm to update our assessment of a user's preferred interface, our application creates a customized user experience that is best suited for their personality and learning style.
Description
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
 
Includes bibliographical references (leaf 52).
 
Date issued
2006
URI
http://hdl.handle.net/1721.1/36771
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
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