International Journal of Man-Machine Studies
Pictures of relevance: a geometric analysis of similarity measures
Journal of the American Society for Information Science
Structural analysis of hypertexts: identifying hierarchies and useful metrics
ACM Transactions on Information Systems (TOIS)
Information seeking in electronic environments
Information seeking in electronic environments
On the use of information retrieval techniques for the automatic construction of hypertext
Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
What the query told the link: the integration of hypertext and information retrieval
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
Ranking Strategies for Navigation Based Query Formulation
Journal of Intelligent Information Systems
Functional link typing in hypertext
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Information Retrieval
Using Iterative Refinement to Find Reusable Software
IEEE Software
Building Hypertext Links By Computing Semantic Similarity
IEEE Transactions on Knowledge and Data Engineering
ScentTrails: Integrating browsing and searching on the Web
ACM Transactions on Computer-Human Interaction (TOCHI)
The perfect search engine is not enough: a study of orienteering behavior in directed search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommender Systems Research: A Connection-Centric Survey
Journal of Intelligent Information Systems
Queries as anchors: selection by association
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
How do users find things with PubMed?: towards automatic utility evaluation with user simulations
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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Hypertext allows users to navigate between related materials in digital libraries. The most fundamental automated hypertexts are those constructed on the basis of semantic similarity. Such hypertexts have been evaluated by a variety of means, but seldom by real users given simulated real-world tasks. We claim that while other methods exist, one of the best ways to prove the usefulness of hypertext is to show the benefits for users performing realistic tasks. We compare the reformulation of queries that users perform in keyword searching, to the query reformulation implicit in browsing between documents linked by similarity of content. We find that a static automatically-constructed similarity hypertext provides useful linking between related items, improving the retrieval of targets when used to augment standard keyword search.