Excellence in Research and Innovation for Humanity
%0 Journal Article
%A Benhamouda Sara and  Guezouli Larbi
%D 2016 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 113, 2016
%T Selection of Relevant Servers in Distributed Information Retrieval System
%U http://waset.org/publications/10004218
%V 113
%X Nowadays, the dissemination of information touches the distributed world, where selecting the relevant servers to a user request is an important problem in distributed information retrieval. During the last decade, several research studies on this issue have been launched to find optimal solutions and many approaches of collection selection have been proposed. In this paper, we propose a new collection selection approach that takes into consideration the number of documents in a collection that contains terms of the query and the weights of those terms in these documents. We tested our method and our studies show that this technique can compete with other state-of-the-art algorithms that we choose to test the performance of our approach.

%P 818 - 822