INFORMATION RETRIEVAL EVALUATION OF SEARCH ENGINES FOR BUSINESS AND RESEARCH
Publication Date : 01/03/2018
Information retrieval is a vital aspect of online search. The rate of data retrieval is highly dependent on the search engine especially in the academia where online research is paramount. All search engines use web crawler which is sometimes called SPIDER. This is an internet boast that systematically browser the internet. It is also used for updating of websites. They work by copying all the pages visited for later processing by a search engine which indexes the downloaded pages for efficient search. This paper bring to the fore, various search engines, their mean capacity and proposes a model for fast data retrieval base on the position of ranking with discounted cumulative gain (DCG).
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