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dc.contributor.advisorPattie Maes.en_US
dc.contributor.authorSheth, Beerud Dilipen_US
dc.date.accessioned2007-07-18T13:22:15Z
dc.date.available2007-07-18T13:22:15Z
dc.date.copyright1994en_US
dc.date.issued1994en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/37998
dc.descriptionThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.en_US
dc.descriptionIncludes bibliographical references (leaves 96-100).en_US
dc.description.statementofresponsibilityby Beerud Dilip Sheth.en_US
dc.format.extent100 leavesen_US
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.subjectElectrical Engineering and Computer Scienceen_US
dc.titleA learning approach to personalized information filteringen_US
dc.typeThesisen_US
dc.description.degreeM.S.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc30822199en_US


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