An eCommerce platform for customized page design and content delivery

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2006

Author dc:creator

• Narang, Aman

Advisor dc:contributor.advisor

• Glen L. Urban.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/36771

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/36771