Context-based page unit recommendation for web-based sensemaking tasks

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Context-based page unit recommendation for web-based sensemaking tasks
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. Categories and Subject Descriptors H.3.3 [Information Systems]: Information Search and Retrieval; H.4.3 [Information Systems]: Communications Applications—Information Browsers General Terms Algorithms, Design, Human Factors Keywords Recommendation, ...
Wen-Huang Cheng, David Gotz
Added 17 Mar 2010
Updated 17 Mar 2010
Type Conference
Year 2009
Where IUI
Authors Wen-Huang Cheng, David Gotz
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