DEMIR at CLEF ehealth: The effects of selective query expansion to information retrieval

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dc.contributor.authorOzturkmenoglu O.
dc.contributor.authorAlpkocak A.
dc.contributor.authorKilinc D.
dc.date.accessioned2024-07-22T08:16:07Z
dc.date.available2024-07-22T08:16:07Z
dc.date.issued2014
dc.description.abstractThis paper presents the details of participation of DEMIR (Dokuz Eylül University Multimedia Information Retrieval) research team to the Share/CLEF eHealth 2014. This year, we participated to task 3a: monolingual user-centered health information retrieval. In this task, we focused to apply query expansion techniques selectively to some queries to improve the performance of information retrieval. Thus, we first extracted some statistical features from queries such as length of query, sum and intersect of document frequencies of each query term etc. We develop a system to predict if a query is to be expanded or not. Then, we trained our system with previous year's data. Then, we applied a query expansion method only to the queries, which are selected by the system. The results show that the approach we proposed slightly improves our baseline retrieval performance in terms of P@10.
dc.identifier.issn16130073
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/16784
dc.language.isoEnglish
dc.publisherCEUR-WS
dc.subjectInformation retrieval
dc.subjectDocument frequency
dc.subjectHealth informations
dc.subjectMultimedia information retrieval
dc.subjectQuery classification
dc.subjectQuery expansion
dc.subjectQuery expansion techniques
dc.subjectRetrieval performance
dc.subjectStatistical features
dc.subjectClassification (of information)
dc.titleDEMIR at CLEF ehealth: The effects of selective query expansion to information retrieval
dc.typeConference paper

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