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.
Recommendation WWW Search Sensemaking
Wen-Huang Cheng David Gotz
Graduate Institute of Networking and Multimedia National Taiwan University Taipei 10617, Taiwan, R.O IBM T. J. Watson Research Center 19 Skyline Drive Hawthorne, New York 10532, USA
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）