The quest for correct information on the Web: hyper search engines
Selected papers from the sixth international conference on World Wide Web
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Differences between novice and experienced users in searching information on the World Wide Web
Journal of the American Society for Information Science - Special topic issue: individual differences in virtual environments
The ScratchPad: sensemaking support for the web
Proceedings of the 16th international conference on World Wide Web
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Sensemaking tasks require users to perform complex research behaviors to gather and comprehend information from many sources. Such tasks are common and include, for example, researching vacation destinations or deciding how to invest. In this paper, we present an algorithm and interface that provides context-based page unit recommendation to assist in connection discovery during sensemaking tasks. We exploit the natural note-taking activity common to sensemaking behavior as the basis for a task-specific context model. Each web page visited by a user is dynamically analyzed to determine the most relevant content fragments which are then recommended to the user. Our initial evaluations indicate that our approach improves user performance.