Real-time adaptive morphing website modeled per user and optimized across users
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/61568 |
| _version_ | 1826193474312994816 |
|---|---|
| author | Perciballi, Christopher J |
| author2 | Glen L. Urban. |
| author_facet | Glen L. Urban. Perciballi, Christopher J |
| author_sort | Perciballi, Christopher J |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. |
| first_indexed | 2024-09-23T09:39:45Z |
| format | Thesis |
| id | mit-1721.1/61568 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:39:45Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/615682019-04-10T16:18:36Z Real-time adaptive morphing website modeled per user and optimized across users Perciballi, Christopher J Glen L. Urban. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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). 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. by Christopher J. Perciballi. M.Eng. 2011-03-07T15:16:26Z 2011-03-07T15:16:26Z 2010 2010 Thesis http://hdl.handle.net/1721.1/61568 703263085 eng 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. http://dspace.mit.edu/handle/1721.1/7582 21 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Perciballi, Christopher J Real-time adaptive morphing website modeled per user and optimized across users |
| title | Real-time adaptive morphing website modeled per user and optimized across users |
| title_full | Real-time adaptive morphing website modeled per user and optimized across users |
| title_fullStr | Real-time adaptive morphing website modeled per user and optimized across users |
| title_full_unstemmed | Real-time adaptive morphing website modeled per user and optimized across users |
| title_short | Real-time adaptive morphing website modeled per user and optimized across users |
| title_sort | real time adaptive morphing website modeled per user and optimized across users |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/61568 |
| work_keys_str_mv | AT perciballichristopherj realtimeadaptivemorphingwebsitemodeledperuserandoptimizedacrossusers |