A Novel Document Ranking Algorithm That Supports Mobile Healthcare Information Access Effectiveness

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dc.contributor.authorAgbele, Kehinde K.
dc.contributor.authorAdesina, Ademola O.
dc.contributor.authorAzeez, Nureni A.
dc.contributor.authorAbidoye, Ademola P.
dc.contributor.authorFebba, Ronald
dc.date.accessioned2019-07-12T11:34:27Z
dc.date.available2019-07-12T11:34:27Z
dc.date.issued2011
dc.description.abstractThis study presented DROPT; an acronym for Document ranking Optmization algorithm approach, a new idea for the effectiveness of meaningful retrieval results from the information source. Proposed method extracted the frequency of query keyword terms that appears within the user context of Frequently Asked Questions (FAQ) systems on HIV/AIDS content related-documents. The SMS messages were analyzed and then classified, with the aim of constructing a corpus of SMS related to HIV/AIDS. This study presented a novel framework of Information Retrieval Systems (IRS) based on the proposed algorithm. The developed DROPT procedure was used as an evaluation measure. This “Term Frequency-Inverse Document Frequency (TFIDF)” method was applied to obtain the experimental result that was found promising in ranking documents not only the order in which the relevant documents were retrieved, but also both the terms of the relevant documents in feedback and the terms of the irrelevant documents in feedback might be useful for relevance feedback, especially to define its fitness function (mean weight).en_US
dc.identifier.citationAgbele, K. K., Adesina, A. O., Azeez, N. A., Abidoye, A. P., & Febba, R. (2011). A novel document ranking algorithm that supports mobile healthcare information access effectiveness.en_US
dc.identifier.issn1815-7432
dc.identifier.uri1O.3923/rjit.2011.
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/296
dc.language.isoenen_US
dc.publisherAcademic Journals Inc.en_US
dc.subjectInformation retrievalen_US
dc.subjectInformation retrieval systemen_US
dc.subjectRanking functionen_US
dc.subjectContext awarenessen_US
dc.subjectRelevance feedbacken_US
dc.subjectMobile information accessen_US
dc.subjectHIV/AIDS managementen_US
dc.titleA Novel Document Ranking Algorithm That Supports Mobile Healthcare Information Access Effectivenessen_US
dc.typeArticleen_US
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