Web Site Performance Analysis Success Assessment of Information Driven Web Site on User Traces

Web Site Performance Analysis Success Assessment of Information Driven Web Site on User Traces

Carsten Stolz, Michael Barth
Copyright: © 2007 |Pages: 16
DOI: 10.4018/jitwe.2007070103
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Web metrics help to identify improvement potentials for web sites. In contrast to transaction based sites, the success of web sites geared toward information delivery is harder to quantify without direct feedback out of a transaction. We propose a generic success measure for information driven web sites by observing the users in context of the web site semantics. Thus we identify target pages, analyze the web page content and evaluate effectiveness and efficiency of the user actions with respect to the web site’s objectives. The user’s perspective has to be incorporated for a comprehensive success measure. We propose to integrate search queries from referrer information carrying the user’s intentions. Out of an integrated web site meta model we derive formally a new success measure. This approach uses common data mining techniques and text mining algorithms like PLSA and shows its applicability in two case studies and an independent user enquiry.

Complete Article List

Search this Journal:
Reset
Volume 19: 1 Issue (2024)
Volume 18: 1 Issue (2023)
Volume 17: 4 Issues (2022): 1 Released, 3 Forthcoming
Volume 16: 4 Issues (2021)
Volume 15: 4 Issues (2020)
Volume 14: 4 Issues (2019)
Volume 13: 4 Issues (2018)
Volume 12: 4 Issues (2017)
Volume 11: 4 Issues (2016)
Volume 10: 4 Issues (2015)
Volume 9: 4 Issues (2014)
Volume 8: 4 Issues (2013)
Volume 7: 4 Issues (2012)
Volume 6: 4 Issues (2011)
Volume 5: 4 Issues (2010)
Volume 4: 4 Issues (2009)
Volume 3: 4 Issues (2008)
Volume 2: 4 Issues (2007)
Volume 1: 4 Issues (2006)
View Complete Journal Contents Listing