Towards interactive query expansion
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Constant interaction-time scatter/gather browsing of very large document collections
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Scatter/gather browsing communicates the topic structure of a very large text collection
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue on interactivity at the text retrieval conference (TREC)
Hierarchical presentation of expansion terms
Proceedings of the 2002 ACM symposium on Applied computing
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Do thumbnail previews help users make better relevance decisions about web search results?
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Finding the flow in web site search
Communications of the ACM
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Re-examining the potential effectiveness of interactive query expansion
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A comparison of hyperstructures: zzstructures, mSpaces, and polyarchies
Proceedings of the fifteenth ACM conference on Hypertext and hypermedia
Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
Categorizing web search results into meaningful and stable categories using fast-feature techniques
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Elicitation of term relevance feedback: an investigation of term source and context
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Backward highlighting: enhancing faceted search
Proceedings of the 21st annual ACM symposium on User interface software and technology
Visual snippets: summarizing web pages for search and revisitation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploratory Search
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Generalized formal models for faceted user interfaces
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
A polyrepresentational approach to interactive query expansion
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
A comparison of query and term suggestion features for interactive searching
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Search User Interfaces
Search Patterns: Design for Discovery
Search Patterns: Design for Discovery
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In the quest to develop better and more useful search systems, many novel search user interface features have been developed, such as relevance feedback, clusters, tag clouds, facets, and so on. Yet all of these novel 'interactions' have required novel forms of 'information', or metadata, to make them work. Consequently, we do not know whether users have been benefiting from better interaction or simply richer forms of metadata, or both. In this research, we aimed to show that better interaction can be provided, regardless of whether we have access to, or the ability to generate, richer forms of metadata. Using only search engine query suggestions as a consistent form of metadata, we built interface conditions for three common interaction models for search: query suggestions (our baseline), hierarchical browsing, and faceted filtering. Our results showed that, despite interacting with the same underlying metadata, users experienced significant performance gains with different forms of interaction. These findings have implications for search user interface designers, who are often working with fixed metadata or within limited budgets. Our future work will focus on complementing these findings by recreating the same interaction with different forms of metadata, such that we can then compare the performance gain separately provided by both information and interaction.