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dc.contributor.authorFischer, Hendrik
dc.date.accessioned2014-03-03T23:21:29Z
dc.date.available2014-03-03T23:21:29Z
dc.date.issued2005-08
dc.identifier.otherfischer_hendrik_200508_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/fischer_hendrik_200508_ms
dc.identifier.urihttp://hdl.handle.net/10724/22644
dc.description.abstractDecisions To Go is an intelligent mobile decision support system that facilitates the task of product research for consumers on the go. This paper describes the development of software that can be used on a PDA or a regular cell phone, and which enables the customer to access valuable information about a product when needed most { while being in a retail environment struggling with information overload. Providing the \right" information turns out to be a di±cult problem. The expert system not only has to be able to identify appropriate recommendations and advice for each individual user, it is also used to reason with the huge amount of data found on the Internet, and in doing so must be able to retrieve specically the information that is considered important to the customer in supporting the decision making process.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectDecision Support Systems
dc.subjectExpert Systems
dc.subjectKnowledge Management
dc.subjectMobile Applications
dc.subjectIntelligent Information System
dc.subjectInformation Retrieval
dc.subjectJESS
dc.titleDecisions to go
dc.title.alternativean intelligent mobile decision support system
dc.typeThesis
dc.description.degreeMS
dc.description.departmentArtificial Intelligence
dc.description.majorArtificial Intelligence
dc.description.advisorWalter D. Potter
dc.description.committeeWalter D. Potter
dc.description.committeeJay E. Aronson
dc.description.committeeScott A. Shamp


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