Chapter
1.10 Recognize the Importance of Small Details
1.11 Recognize the Importance of Aesthetics in Design
2 The Evaluation of Search User Interfaces
2.1 Standard Information Retrieval Evaluation
2.2 Informal Usability Testing
2.3 Formal Studies and Controlled Experiments
2.5 Analyzing Search Engine Server Logs
2.6 Large-Scale Log-Based Usability Testing (Bucket Testing)
2.7 Special Concerns with Evaluating Search Interfaces
3 Models of the Information Seeking Process
3.1 The Standard Model of Information Seeking
3.2 Cognitive Models of Information Seeking
3.3 The Dynamic (Berry-Picking) Model
3.4 Information Seeking in Stages
3.5 Information Seeking as a Strategic Process
3.6 Sensemaking: Search as Part of a Larger Process
3.7 Information Needs and Query Intent
4.1 Textual Query Specification
4.2 Query Specification via Entry Form Interfaces
4.3 Dynamic Term Suggestions During Query Specification
4.4 Query Specification Using Boolean and Other Operators
4.5 Query Specification Using Command Languages
5 Presentation of Search Results
5.2 KWIC, or Query-Oriented Summaries
5.3 Highlighting Query Terms
5.4 Additional Features of Results Listings
5.5 The Effects of Search Results Ordering
5.6 Visualization of Search Results
6.1 The Need for Reformulation
6.2 Spelling Suggestions and Corrections
6.3 Automated Term Suggestions
6.4 Suggesting Popular Destinations
6.6 Showing Related Articles (More Like This)
7 Supporting the Search Process
7.1 Starting Points for Search
7.2 Supporting Search History
7.3 Supporting the Search Process as a Whole
7.4 Integrating Search with Sensemaking
8 Integrating Navigation with Search
8.1 Categories for Navigating and Narrowing
8.2 Categories for Grouping Search Results
8.3 Categories for Sorting and Filtering Search Results
8.4 Organizing Search Results via Table-of-Contents Views
8.5 The Decline of Hierarchical Navigation of Web Content
8.7 Navigating via Social Tagging and Social Bookmarking
8.8 Clustering in Search Interfaces
8.9 Clusters vs. Categories in Search Interfaces
9 Personalization in Search
9.1 Personalization Based on Explicit Preferences
9.2 Personalization Based on Implicit Relevance Cues
9.3 Combining Implicit and Explicit Information
9.4 Searching over Personal Information
10 Information Visualization for Search Interfaces
10.1 Principles of Information Visualization
10.2 Techniques for Interactive Visualization
10.3 The Effects of Data Types on Information Visualization
10.4 The Difficulties with Visualizing Nominal Data
10.5 Visualization for Query Specification
10.6 Visualizing Query TermsWithin a Large Document
10.7 Visualizing Query TermsWithin Retrieval Results
10.8 Visualizing Faceted Navigation
10.9 Visualizing Search Results as Clusters and “Starfields”
10.10 3D Visualization in Search
11 Information Visualization for Text Analysis
11.1 Visualization for Text Mining
11.2 Visualizing Document Concordances and Word Frequencies
11.3 Visualizing Literature and Citation Relationships
12 Emerging Trends in Search Interfaces
12.1 Mobile Search Interfaces
12.2 Multimedia Search Interfaces
12.4 A Hybrid of Command and Natural Language Search
Appendix: Additional Copyright Notices