IReadWeb: Towards Best Performance of WebAnyWhere
Автор: Najwa K. Bakhsh, Saleh Alshomrani, Imtiaz Hussain Khan
Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb
Статья в выпуске: 4, 2017 года.
Бесплатный доступ
This article describes IReadWeb system, which is based on existing WebAnyWhere technology. The existing WebAnyWhere system uses depth-first search (DFS) to traverse the Document Object Model (DOM) during the Web surfing task. DFS uses an exhaustive search and crawls through an entire page until it identifies the target node thereby greatly increasing the response time to users. We developed a user-experienced based algorithm, which, unlike DFS, exploits pre-fetched information stored in a local cache to speed up the browsing task. The performance of IReadWeb is thoroughly evaluated and compared against WebAnyWhere by using a sizeable sample of blind native Arabic speakers. The experimental results show that IReadWeb outperformed WebAnyWhere in attaining fast response speed.
Web application, Disability, Text-to-speech, IReadWeb
Короткий адрес: https://sciup.org/15013513
IDR: 15013513
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