Please use this identifier to cite or link to this item:
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/296
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. http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/296 |
ISSN: | 1815-7432 |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
A Novel Document Ranking Algorithm That Supports Mobile.pdf | Article full-text | 319.86 kB | Adobe PDF | View/Open |
Items in EUSpace are protected by copyright, with all rights reserved, unless otherwise indicated.