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

Xiannong Meng, Song Xing and Ty Clark
Additional contact information
Xiannong Meng: Bucknell University, USA
Song Xing: California State University - Los Angeles, USA
Ty Clark: Bucknell University, USA

International Journal of Intelligent Information Technologies (IJIIT), 2007, vol. 3, issue 2, 65-81

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.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 4018/jiit.2007040105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:3:y:2007:i:2:p:65-81

Access Statistics for this article

International Journal of Intelligent Information Technologies (IJIIT) is currently edited by Vijayan Sugumaran

More articles in International Journal of Intelligent Information Technologies (IJIIT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().