An Intelligent Meta Search Engine for Efficient Web DocumentRetrieval
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 2
Abstract
Abstract: In daily use of internet, when searching information we face lots of difficulty due to the rapid growthof Information Resources. This is because of the fact that a single search engine cannot index the entire web ofresources. A Meta Search Engine is a solution for this, which submits the query to many other search enginesand returns summary of the results. Therefore, the search results receive are an aggregate result of multiplesearches. This strategy gives our search a boarder scope than searching a single search engine, but the resultsare not always better. Because the Meta Search Engine must use its own algorithm to choose the best resultsfrom multiple search engines. In this paper we proposed a new Meta Search Engine to overcome thesedrawbacks. It uses a new page rank algorithm called modified ranking for ranking and optimizing the searchresults in an efficient way. It is a two phase ranking algorithm used for ordering the web pages based on theirrelevance and popularity. This Meta Search Engine is developed in such a way that it will produce moreefficient results than traditional search engines
Authors and Affiliations
Keerthana. I. P , Aby Abahai. T
Keywords
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