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The Zero Touch Experience : intent based contextual morphing on mobile devices using localized keyword distributions

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dc.contributor.advisor Glen Urban. en_US
dc.contributor.author Kim, Jong-Moon, M. Eng. Massachusetts Institute of Technology en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. en_US
dc.date.accessioned 2011-02-23T14:22:51Z
dc.date.available 2011-02-23T14:22:51Z
dc.date.copyright 2010 en_US
dc.date.issued 2010 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/61164
dc.description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. en_US
dc.description Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (p. 45). en_US
dc.description.abstract With the rise of smart phones integrated with GPS devices, we have seen the advent of location-based contextual services. "Contextual" in this sense, refers to a simple query of nearby points of interest based on the current location. This type of filtering is but the most rudimentary of what can be done with such information. Depending on if the user is at the location because of recreation or work, the phone should provide varying services appropriate for that purpose. In this thesis, I present a technique to perform inference on user purpose and an implementation of that technique in a demonstration application called Concierge. Concierge showcases how purpose can be used to provide a compelling, personal mobile experience. The application uses a Bayesian inference system with Gittins index utilizing location, past behavior, search queries, as well as other data present on the phone to make an assessment about the user's purpose. Using this data, the application assembles the most relevant applications, offers deals and discounts for appropriate nearby businesses, and shows information about the user's friends and their statues. With Concierge, the most interesting content simply appears without any user input; hence the Zero Touch Experience. I discuss how such an inference system is designed and how it was implemented in a first-stage demonstration for France Telecom/Orange and then explore the implications as it pertains to mobile applications, mobile advertisement, and social interaction. en_US
dc.description.statementofresponsibility by Jong-Moon Kim. en_US
dc.format.extent 45 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Electrical Engineering and Computer Science. en_US
dc.title The Zero Touch Experience : intent based contextual morphing on mobile devices using localized keyword distributions en_US
dc.title.alternative Intent based contextual morphing on mobile devices using localized keyword distributions en_US
dc.type Thesis en_US
dc.description.degree M.Eng. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. en_US
dc.identifier.oclc 698462196 en_US


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