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

Abstract

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.

Original languageEnglish
Title of host publicationProceeding of the 17th International Conference on World Wide Web 2008, WWW'08
Pages1073-1074
Number of pages2
DOIs
StatePublished - 15 Dec 2008
Event17th International Conference on World Wide Web 2008, WWW'08 - Beijing, China
Duration: 21 Apr 200825 Apr 2008

Publication series

NameProceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Conference

Conference17th International Conference on World Wide Web 2008, WWW'08
CountryChina
CityBeijing
Period21/04/0825/04/08

Keywords

  • Recommendation
  • Search
  • Sensemaking
  • WWW

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