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论文作者:留学生论文论文属性:硕士毕业论文 thesis登出时间:2011-03-31编辑:zn1987点击率:4223
论文字数:7197论文编号:org201103311326271533语种:英语 English地区:美国价格:$ 66
关键词:Computer ScienceSchool of ElectronicsComputer Science
From Keyword Search to Exploration:
How Result Visualization Aids Discovery on the Web
Bill Kules
School of Library and Information Science
The Catholic University of America,
Washington, DC 20064
kules@cua.edu
Max L. Wilson, m.c. schraefel
Intelligence, Agents, Multimedia (IAM) Group,
School of Electronics and Computer Science
University of Southampton
SO17 1BJ
{mlw05r, mc}@ecs.soton.ac.uk
Ben Shneiderman
Department of Computer Science and Human-Computer Interaction Laboratory,
Institute for Advanced Computer Studies
University of Maryland at College Park, College Park, MD 20742
ben@cs.umd.edu
Please send correspondence to Bill Kules (kules@cua.edu)
(202) 319-6278 (office)
(240) 599-7671 (fax)
Table of Contents
1. Introduction ...........................................................................................................7
1.1 Scope of the Monograph ..................................................................................7
1.2 Reviews & surveys...........................................................................................7
1.3 Key Terms .......................................................................................................8
1.4 Web Collection Characteristics ........................................................................8
2. Framework – Theory of Search............................................................................10
2.1 The model......................................................................................................10
2.2 Work tasks.....................................................................................................11
2.3 Information seeking tasks...............................................................................11
2.4 Information retrieval tasks..............................................................................12
3. Search Environments Review...............................................................................16
3.1 Adding Classifications ...................................................................................16
3.1.1 Hierarchical Classifications .....................................................................16
3.1.2 Faceted Classifications ............................................................................18
3.1.3 Automatic Clustering...............................................................................26
3.1.4 Social Classifications...............................................................................28
3.2 Result Organisation........................................................................................30
3.2.1 Result Lists .............................................................................................30
3.2.2 2D Result Representations.......................................................................31
3.2.3 3D Result Representations.......................................................................40
3.3 Additional Functions......................................................................................43
3.3.1 Previews..................................................................................................43
3.3.2 More like this..........................................................................................43
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