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dc.contributor.advisorCan, Fazlıen_US
dc.contributor.authorÖcalan, Hüseyin Çağdaşen_US
dc.date.accessioned2016-01-08T18:10:17Z
dc.date.available2016-01-08T18:10:17Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/11693/14881
dc.descriptionAnkara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2009.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2009.en_US
dc.descriptionIncludes bibliographical references leaves 65-71.en_US
dc.description.abstractNews portal services such as browsing, retrieving, and filtering have become an important research and application area as a result of information explosion on the Internet. In this work, we give implementation details of Bilkent News Portal that contains various novel features ranging from personalization to new event detection and tracking capabilities aiming at addressing the needs of news-consumers. The thesis presents the architecture, data and file structures, and experimental foundations of the news portal. For the implementation and evaluation of the new event detection and tracking component, we developed a test collection: BilCol2005. The collection contains 209,305 documents from the entire year of 2005 and involves several events in which eighty of them are annotated by humans. It enables empirical assessment of new event detection and tracking algorithms on Turkish. For the construction of our test collection, a web application, ETracker, is developed by following the guidelines of the TDT research initiative. Furthermore, we experimentally evaluated the impact of various parameters in information retrieval (IR) that has to be decided during the implementation of a news portal that provides filtering and retrieval capabilities. For this purpose, we investigated the effects of stemming, document length, query length, and scalability issues.en_US
dc.description.statementofresponsibilityÖcalan, Hüseyin Çağdaşen_US
dc.format.extentxiii, 75 leaves, graphicsen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectContent based information filteringen_US
dc.subjectInformation retrieval (IR)en_US
dc.subjectNew event detection and trackingen_US
dc.subjectNews portalen_US
dc.subjectTest collection constructionen_US
dc.subjectTDTen_US
dc.subject.lccZ699 .O33 2009en_US
dc.subject.lcshInformation storage and retrieval systems.en_US
dc.subject.lcshInformation retrieval.en_US
dc.subject.lcshAutomatic tracking.en_US
dc.titleBilkent News Portal : a system with new event detection and tracking capabilitiesen_US
dc.typeThesisen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidBILKUTUPB116502


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