Discovering the gap between Web site designers' expectations and users' behavior
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Proceedings of the 6th international conference on Intelligent user interfaces
Improving the Effectiveness of a Web Site with Web Usage Mining
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Data Mining of User Navigation Patterns
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
User adaptation: good results from poor systems
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Understanding User-Web Interactions via Web Analytics
Understanding User-Web Interactions via Web Analytics
A taxonomy of sequential pattern mining algorithms
ACM Computing Surveys (CSUR)
Helping identify when users find useful documents: examination of query reformulation intervals
Proceedings of the third symposium on Information interaction in context
Unobtrusive mobile browsing behaviour tracking tool
Proceedings of the 4th Information Interaction in Context Symposium
The seventeenth australasian document computing symposium
ACM SIGIR Forum
Improving government services with social media feedback
Proceedings of the 19th international conference on Intelligent User Interfaces
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A user's behaviour on a web site can tell us something about that user's experience. In particular, we believe there are simple signals---including circling back to previous pages, and swapping out to a search engine---that indicate difficulty navigating a site. Simple page view patterns from web server logs correlate with these signals and may explain them. Extracting these patterns can help web authors understand where, and why, their sites are confusing or hard to navigate. We illustrate these ideas with data from almost a million sessions on a government website. In this case a small number of page view patterns are present in almost a third of difficult sessions, suggesting possible improvements to website language or design. We also introduce a tool for web authors, which makes this analysis available in the context of the site itself.