de Quincey, Ed, Kostkova, Patty and Farrell, David (2009) Visualising web server logs for a Web 1.0 audience using Web 2.0 technologies: eliciting attributes for recommendation and profiling systems. In: Proceedings of International Workshop on Adaptation and Personalization for Web 2.0 (AP-WEB 2.0 2009). CEUR Workshop Proceedings (485). CEUR-WS.org, pp. 69-78. ISSN 1613-0073

Full text not available from this repository.

Abstract

Web server logs have been used via techniques such as user profiling and recommendation systems to improve user experience on websites. The data contained within server logs however has generally been inaccessible to non technical stakeholders on website development projects due to the terminology and presentation used. We describe a process that uses visualisation to enable these stakeholders to identify questions about site usage including user profiling and behaviour. The development of this tool utilising Web 2.0 technologies is described as well as feedback from the first stage of user evaluation on a realworld multi-national web development project called e-Bug. The potential for this process to elicit user attributes and behaviour that can be incorporated into automated user profiling systems is also discussed.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of International Workshop on Adaptation and Personalization for Web 2.0 (AP-WEB 2.0 2009)
Additional Information:	[1] This paper was presented at the International Workshop on Adaptation and Personalization for Web 2.0 (AP-WEB 2.0 – 2009) held on June 22 2009 in Trento, Italy. [2] The workshop was part of the User Modeling, Adaptation, and Personalization (UMAP) Conference which was held from 22-26 June 2009 in Trento, Italy. URL: http://umap09.fbk.eu/ [3] The biennial conference series User Modeling (UM, 1986-2007) and Adaptive Hypermedia and Adaptive Web-Based Systems (AH, 2000-2008) were merged in 2009 into the annual conference series User Modeling, Adaptation, and Personalization (UMAP)
Uncontrolled Keywords:	visualisation, web server logs, user profiling, Web 2.0 technologies
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Creative Digital Technologies
Related URLs:	Publisher Publisher Organisation Organisation
Last Modified:	14 Oct 2016 09:14
URI:	http://gala.gre.ac.uk/id/eprint/5562

Actions (login required)

View Item