De Quincey, E;
Kostkova, P;
Farrell, D;
(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 the Workshop on Adaptation and Personalization for Web 2.0.
(pp. pp. 69-78).
CEUR: Trento, Italy.
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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 nontechnical 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 real-world 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.
| Type: | Proceedings paper |
|---|---|
| Title: | Visualising web server logs for a Web 1.0 audience using Web 2.0 technologies: Eliciting attributes for recommendation and profiling systems |
| Event: | Workshop on Adaptation and Personalization for Web 2.0 (2009) |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://ceur-ws.org/Vol-485/ |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10084564 |
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