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Image Retrieval: A Comparative Analysis of Leading Search Engines - Analysis of Five Search Engines

English · Paperback / Softback

Description

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The World Wide Web has grown amazingly in the last two decades. Abundant information is available on the web and people regularly search the web to gather relevant information. Search engines play an important role in making users search the contents online using textual queries and other features to suite their requirements. Search engines now provide various added services too. This work presents critical evaluation of five popular search engines i.e. Google, Yahoo, AltaVista, Ask and Bing based on added features along with end-user experiences recorded during a survey. Images of thirty ambiguous words are retrieved from these search engines and analyzed and compared on the basis of their features, behaviour, functionalities, time taken, number of results and their versatility. The outcome of this study indicates the search engine(s) that provide good image results for ambiguous queries and the ones that provide the most features. We also put these search engines to various statistical comparisons including statistical tests to prove the hypothesis considered for this study. The results are elaborated using graphical interpretations.

Product details

Authors Maninder Kaur
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 13.09.2012
 
EAN 9783659228360
ISBN 978-3-659-22836-0
No. of pages 176
Subject Natural sciences, medicine, IT, technology > IT, data processing > Internet

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