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dc.contributor.advisorOard, Douglas W.en_US
dc.contributor.authorSankepally, Rashmien_US
dc.date.accessioned2015-07-17T05:37:13Z
dc.date.available2015-07-17T05:37:13Z
dc.date.issued2015en_US
dc.identifierhttps://doi.org/10.13016/M2MP7S
dc.identifier.urihttp://hdl.handle.net/1903/16811
dc.description.abstractInformation retrieval research for informal conversational settings differs in important ways from the more traditional goal of document retrieval. The goal of this research is to build an information retrieval test collection from informal conversational messages and to demonstrate the use of that collection to compare the retrieval effectiveness of some information retrieval systems. The test collection is based on the Linguistic Data Consortium's collection of more than 8,000 English SMS (Short Message Service) conversations, which contain more than 120,000 individual messages. The collection is described, followed by a description of the processes for creating and collecting topics, performing relevance judgments, and establishing baseline results. The findings indicate that traditional approaches for building information retrieval test collections can reasonably be applied to preclustered SMS conversations, but that the process of creating relevance judgments is somewhat more challenging and thus the reliable detection of differences in system effectiveness is somewhat more complex.en_US
dc.language.isoenen_US
dc.titleAn Information Retrieval Test Collection for English SMS Conversationsen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentMaster in Information Managementen_US
dc.subject.pqcontrolledInformation scienceen_US
dc.subject.pqcontrolledComputer scienceen_US


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