Extremely Pertinent Document Assortment from Disseminated Databases
Ahmad Alkhodre, Turki Alghamdi, Mohammad Husain
Journal of Information Technology Review, Vol. 6, No. 1, 2015.
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Abstract:
With the rapid growth of computer technology in the recent years, electronic information has been rapidly increased and become more and more important to help users access a huge volume of web pages. This is really noticeable to
find the information in efficient and effective manner especially on the web, when we are working in heterogeneous environment.
As the availability of information increases on the web, the need of finding proper and accurate information is also a challenging task. There are the numerous ways to find the information on the web but the ultimate need nowadays is that of predicting the user needs in order to improve the usability and user retention. In this paper we have proposed an algorithm which shows superior performance compared to other existing methods and that will provide most accurate, fast and relevant
information in front of the user.