Web engine for investigating consumer consideration

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.

Bibliographic Details
Main Author: Ocholi, Eleojo E
Other Authors: Glen Urban.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/53176
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author Ocholi, Eleojo E
author2 Glen Urban.
author_facet Glen Urban.
Ocholi, Eleojo E
author_sort Ocholi, Eleojo E
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
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spelling mit-1721.1/531762019-04-12T16:09:50Z Web engine for investigating consumer consideration Ocholi, Eleojo E Glen 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, 2009. Includes bibliographical references (p. 37-38). Today consumers are presented with a plethora of products each time they want to make a purchase. Sometimes they have up to thousands of options and configurations to pick from and yet many consumers are shown to initially screen this size to create a more manageable set to truly consider in an in-depth way. Companies today are looking for ways to ensure that their products make it into the smaller consideration sets of consumers in order to increase the probability of sales. This thesis documents the design of a web engine that provides a survey framework for investigating algorithms that aim to predict which products a user will place in their consideration set as well as to aid in investigating the factors that can lead to the modification of rules that govern a consumer's consideration set. Firstly I evaluated and documented the improvements required from older systems created by the research group. Then over the course of two studies I designed a highly modular system that is a new iteration of the older versions. Finally, more than 3500 participants used the system during field tests and the system was successful in mitigating the previous issues and delivering a better user experience as well as collecting the necessary data. This project lays the groundwork for a platform that can be used for generally investigation and testing consideration predictive algorithms in various retail spaces. by Eleojo E. Ocholi. M.Eng. 2010-03-25T15:10:44Z 2010-03-25T15:10:44Z 2009 2009 Thesis http://hdl.handle.net/1721.1/53176 518080883 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 38 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Ocholi, Eleojo E
Web engine for investigating consumer consideration
title Web engine for investigating consumer consideration
title_full Web engine for investigating consumer consideration
title_fullStr Web engine for investigating consumer consideration
title_full_unstemmed Web engine for investigating consumer consideration
title_short Web engine for investigating consumer consideration
title_sort web engine for investigating consumer consideration
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/53176
work_keys_str_mv AT ocholieleojoe webengineforinvestigatingconsumerconsideration