An Empirical Performance Measurement of Microsoft's Search Engine and its Comparison with Other Major Search Engines

An Empirical Performance Measurement of Microsoft's Search Engine and its Comparison with Other Major Search Engines

Xiannong Meng (Bucknell University, USA), Song Xing (California State University - Los Angeles, USA) and Ty Clark (Bucknell University, USA)
Copyright: © 2007 |Pages: 17
DOI: 10.4018/jiit.2007040105
OnDemand PDF Download:
$37.50

Abstract

This article reports the results of a project attempting to assess the performance of the new Microsoft search engine (MSE) from various perspectives. Specifically, the study collects statistics, such as the average user response time, average process time for a query reported by MSE itself, the number of pages relevant to a query, and comparisons with its competitors. The project also studies the quality of search results generated by MSE and other search engines using RankPower as the metric. We found MSE per-forms well in speed and diversity of the query results, while weaker in other statistics, compared to some other leading search engines. The contribution of this article is to use different measures to assess and compare the quality of different search engines, especially MSE.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 13: 4 Issues (2017): Forthcoming, Available for Pre-Order
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing