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dc.contributor.advisorJohn Maeda.en_US
dc.contributor.authorFields, Noah Sen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciencesen_US
dc.date.accessioned2006-03-29T18:50:46Z
dc.date.available2006-03-29T18:50:46Z
dc.date.copyright2005en_US
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/32505
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.en_US
dc.descriptionIncludes bibliographical references (p. 81-83).en_US
dc.description.abstractDespite advances in search technology, few software systems have been developed which accurately categorize multimedia files. The most successful systems for searching images, sounds, or movies rely on keyword annotation to provide meaningful search terms for non-text documents. Unfortunately, such systems usually require the author to enter the keywords manually, a task that is commonly neglected, or is executed poorly. This thesis proposes an approach to document categorization called Interaction Harvesting, wherein systems establish document relationships based on organizational and curatorial cues, harvested from the mouse and click gestures of an online community. Specifically, the spatial and temporal proximity and placement of documents are taken as indicators of document similarity. We propose an expansion technique whereby such proximal documents exert weighted keyword influences on each other. We hypothesize that these approaches will form a document classification framework that relieves some of the difficulty of the annotation process, while providing keyword-equivalent retrieval performance.en_US
dc.description.statementofresponsibilityby Noah S. Fields.en_US
dc.format.extent84 p.en_US
dc.format.extent5144046 bytes
dc.format.extent5147855 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectArchitecture. Program In Media Arts and Sciencesen_US
dc.titleInteraction harvesting for document retrievalen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciencesen_US
dc.identifier.oclc61921177en_US


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