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dc.contributor.advisorShang, Yi, 1967-eng
dc.contributor.authorHarbert, Christopher W.eng
dc.date.issued2005eng
dc.date.submitted2005 Falleng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file viewed on (December 12, 2006)eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2005.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Computer science.eng
dc.description.abstractSearch engine users frequently place additional constraints on search results that are not included in the user's original query. To respond to these additional constraints, search engine designers frequently add an "advanced search" page. On these pages, the user supplies a set of constraints for the result items. While this is certainly more useful, it relies on two assumptions: that the user knows these constraints prior to the search, and that the constraints are independent. This is not always the case. This work presents a method to use an existing search engine to create an interactive, constraint-based search: the Query Expansion and Refinement Process (QUERP). In addition, this work provides an example of the method as applied to the popular eBay auction site. The experimental results show that using QUERP to provide an interactive, constraint-based search has the potential to provide higher precision and recall than the original search engine.eng
dc.identifier.merlin.b57313404eng
dc.identifier.otherHarbertC-051706-T3565eng
dc.identifier.urihttp://hdl.handle.net/10355/4324eng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartof2005 Freely available theses (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2005 Theseseng
dc.subject.lcshComputer userseng
dc.subject.lcshSearch engineseng
dc.subject.lcshConstraints (Artificial intelligence)eng
dc.titleAn application of machine learning techniques to interactive, constraint-based searcheng
dc.typeThesiseng
thesis.degree.disciplineComputer science (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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