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Statistical Analysis of Search Engine Results Reeshabh Gadda alias Shah, Sanjay Thakkar Department of Computer Science University of Southern California Los Angeles, CA 90089 Guided By: Prof Ellis Horowitz
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General Description Our project aims to analyze the results of several search engines. Metrics used for analysis are: percentage of results shared by the search engines, percentage of results unique to a particular search engine, percentage of sponsored results shared by the search engines for a particular query, percentage of sponsored results unique to a particular search engine.
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This will help us understand the results pattern better and hence help us choose the right search engine for specific searches or queries. General Description
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Software Used Dataset used for queries: Google Zeitgeist. Programming language used: Java. Server-side Scripting: Perl. Backend Database: Oracle.
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Outlay of Result The overall results gathered by the analysis will be as follows:
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