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

Carsten Stolz and Michael Barth
Additional contact information
Carsten Stolz: University of Eichstaett-Ingolstadt, Germany
Michael Barth: Ludwig-Maximilian-University, Germany

International Journal of Information Technology and Web Engineering (IJITWE), 2007, vol. 2, issue 3, 37-52

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.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jitwe.2007070103 (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:jitwe0:v:2:y:2007:i:3:p:37-52

Access Statistics for this article

International Journal of Information Technology and Web Engineering (IJITWE) is currently edited by Ghazi I. Alkhatib

More articles in International Journal of Information Technology and Web Engineering (IJITWE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().