Real-time adaptive morphing website modeled per user and optimized across users
Name
703263085-MIT.pdf
Description
Full printable version
Size
1.74 MB
Format
Adobe PDF
Checksum (MD5)
8017fb6a586ce4b5fbc45b764659d217
Author(s)
Perciballi, Christopher J
Advisor(s)
Glen L. Urban.
Date Issued
2010
Publisher
Massachusetts Institute of Technology
Abstract
Morphing is a powerful tool for providing users with information in a format that benefits them most. It has been shown to increase trust and sales. This thesis describes the implementation of a modular website that morphs based on the click stream of each individual user and learns how to pick the optimal morph based on aggregate user results. The main components are the website controller, the Bayesian Inference Engine, and the Gittins' Optimization Engine. The website controller acts as the interface between the user input and the mathematical modeling of the user's cognitive styles. It uses the Bayesian Engine to update the model and the Gittins' Engine to select the best morph in order to modify the website view. The project was run in survey format to test the effectiveness of morphing for the Suruga Card Loan advice site as well as to test performance and feasibility of real-time morphing and optimization.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 18).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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.
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.
Persistent DSpace Link
