Methodologies for Understanding Web Use with Logging in Context
This paper describes possible approaches of data collection and analysis methods that can be used to understand Web use via logging. First, a method devised by Choo, Detlor, & Turnbull (1998, 1999 & 2000) that can be used to offer a comprehensive, empirical foundation for understanding Web logs in context by gaining insight into Web use from three diverse sources: an initial survey questionnaire, usage logs gathered with a custom-developed Web tracking application and follow-up interviews with study participants. Second, a method of validating different types of Web use logs is proposed that involves client browser trace logs, intranet server and firewall or proxy logs. Third and finally, a system is proposed to collected and analyze Web use via proxy logs that classify Web pages by content.
It is often thought that in some configurations, client browsing application local caching settings may influence server-based logging accuracy. If it is not efficient to modify each study participantâ€™s browser settings (or that temporarily modifying participants browser settings for the study period affects true Web use) a method of factoring in what may be lost due to local cache may be applied. … By tuning intranet server logging settings and collecting and analyzing these logs, some initial measurement of the differences that client browser caching makes in accurate firewall logs can be made. Comparisons to access on the organizations intranet Web server logs such as total page requests per page, time to load, use of REST or AJAX interaction and consistent user identification can be made to the more raw logging from the firewall logs collected
What’s novel about this paper is the introduction of using different datasets to validate or triangulate the veracity and accuracy of log data. Often, logs are collected and processed without context to explain subtle interaction patterns, especially in relation to user behavior. By coordinating a set of quantitative resources, often with accompanying qualitative data, a much richer view of Web use is achieved. This is worth remembering when relying on Web Analytics tools to form a picture of a Web site’s use or set of Web user interactions: you need to go beyond the basic statistical measures (often far beyond what typical log analysis software provides, certainly by their default reports) and design new analysis techniques to gain understanding.
browser history, firewall logs, intranet server logs, web use, survey, questionnaire, client application, webtracker, interview, methodology, logs, server logs, proxy, firewall, analytics, content classification, client trace, transaction log analysis, www
Turnbull, D. (2006). Methodologies for Understanding Web Use with Logging in Context. Paper presented at the The 15th International World Wide Web Conference, Edinburgh, Scotland.
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Jansen, B.J. and Ramadoss, R. and Zhang, M. and Zang, N. (2006). Wrapper: An application for evaluating exploratory searching outside of the lab. EESS, p 14.