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

Wen-Huang Cheng*, David Gotz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Sensemaking tasks require that users gather and comprehend information from many sources to answer complex questions. Such tasks are common and include, for example, researching vacation destinations or performing market analysis. In this paper, we present an algorithm and interface which 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. Our algorithm then dynamically analyzes each web page visited by a user to determine which page units are most relevant to the user's task. We present the details of our recommendation algorithm, describe the user interface, and present the results of a user study which show the effectiveness of our approach.

Original languageEnglish
Title of host publicationProceedingsc of the 13th International Conference on Intelligent User Interfaces, IUI'09
Pages107-116
Number of pages10
DOIs
StatePublished - 21 Sep 2009
Event13th International Conference on Intelligent User Interfaces, IUI'09 - Sanibel Island, FL, United States
Duration: 8 Feb 200911 Feb 2009

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference13th International Conference on Intelligent User Interfaces, IUI'09
CountryUnited States
CitySanibel Island, FL
Period8/02/0911/02/09

Keywords

  • Recommendation
  • Search
  • Sensemaking
  • WWW

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