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dc.contributor.advisorShang, Yi, 1967-en
dc.contributor.authorHarbert, Christopher W.en_US
dc.date.issued2005en_US
dc.date.submitted2005 Fallen
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.en_US
dc.descriptionTitle from title screen of research.pdf file viewed on (December 12, 2006)en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2005.en_US
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Computer science.en_US
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.en_US
dc.identifier.merlin.b57313404en_US
dc.identifier.otherHarbertC-051706-T3565en_US
dc.identifier.urihttp://hdl.handle.net/10355/4324
dc.publisherUniversity of Missouri--Columbiaen_US
dc.relation.ispartof2005 Freely available theses (MU)en_US
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2005 Theses
dc.subject.lcshComputer usersen_US
dc.subject.lcshSearch enginesen_US
dc.subject.lcshConstraints (Artificial intelligence)en_US
dc.titleAn application of machine learning techniques to interactive, constraint-based searchen_US
dc.typeThesisen_US
thesis.degree.disciplineComputer science (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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