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Title: A Novel Document Ranking Algorithm That Supports Mobile Healthcare Information Access Effectiveness
Authors: Agbele, Kehinde K.
Adesina, Ademola O.
Azeez, Nureni A.
Abidoye, Ademola P.
Febba, Ronald
Keywords: Information retrieval
Information retrieval system
Ranking function
Context awareness
Relevance feedback
Mobile information access
HIV/AIDS management
Issue Date: 2011
Publisher: Academic Journals Inc.
Citation: Agbele, 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.
Abstract: This 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).
URI: 1O.3923/rjit.2011.
ISSN: 1815-7432
Appears in Collections:Research Articles

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