  In the world of the Internet and World Wide Web, which offers a tremendous
amount of information, an increasing emphasis is being given to searching
services and functionality. Currently, a majority of web portals offer their
searching utilities, be it better or worse. These can search for the content
within the sites, mainly text the textual content of documents. In this paper a
novel similarity measure called SMDR (Similarity Measure for Documents
Retrieval) is proposed to help retrieve more similar documents from the
repository thus contributing considerably to the effectiveness of Web
Information Retrieval (WIR) process. Bio-inspired PSO methodology is used with
the intent to reduce the response time of the system and optimizes WIR process,
hence contributes to the efficiency of the system. This paper also demonstrates
a comparative study of the proposed system with the existing method in terms of
accuracy, sensitivity, F-measure and specificity. Finally, extensive
experiments are conducted on CACM collections. Better precision-recall rates
are achieved than the existing system. Experimental results demonstrate the
effectiveness and efficiency of the proposed system.
