Anwar Alhenshiri

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Improving the relevancy of Web search results has been of increasing interest in recent years. The nature of the Web implies heterogeneity, large volumes, and varied structures. Hence, finding results that best suit the needs of every individual is a very challenging problem. Accordingly, interactive graphical and visualization techniques are suggested to(More)
The nature of The Web implies heterogeneity, large content, and varied structures. Locating results that suit the needs of every individual is complicated and difficult, and not always feasible. Most conventional search engines return a small fraction of results per display in textual format. To find their intended documents, users have to scroll over(More)
The nature of the Web implies heterogeneity, large volumes, and varied structures. Hence, finding results that best suit the needs of every individual in every type of Web task is a very challenging problem. This research presents an interactive Visual Search Engine (VSE) in which both query reformulation and results presentation are visualized. The paper(More)
The paper explores research concerned with improving aspects of the Web information gathering task. This type of task involves finding source of information on the Web, comparing different types of information, and re-finding information for reasoning and decision making. Research in Web information retrieval has explored visualization, clustering, and(More)
The fundamental model for Web navigation has not changed much since the beginning of the development of Hypertext and Web search engines. Current browsing allows users to search by formulating queries, entering known URLs, and by navigation by following links embedded in webpages. Considerable research has focused on navigation mechanisms to improve the(More)