Failure analysis in query construction: data and analysis from a large sample of Web queries
Proceedings of the third ACM conference on Digital libraries
An Analysis of Usage of a Digital Library
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Search Behavior in a Research-Oriented Digital Library
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
User Behavior Tendencies on Data Collections in a Digital Library
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
WISE '08 Proceedings of the 2008 international workshops on Web Information Systems Engineering
Investigating the distributional property of the session workload
Journal of Web Engineering
Data Mining and Knowledge Discovery
Judging a book by its cover: interface elements that affect reader selection of ebooks
Proceedings of the 24th Australian Computer-Human Interaction Conference
Information Processing and Management: an International Journal
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Transaction logs are invaluable sources of fine-grained information about users' search behavior. This paper compares the searching behavior of users across two WWW-accessible digital libraries: the New Zealand Digital Library's Computer Science Technical Reports collection (CSTR), and the Karlsruhe Computer Science Bibliographies (CSBIB) collection. Since the two collections are designed to support the same type of users-researchers/students in computer science-a comparative log analysis is likely to uncover common searching preferences for that user group. The two collections differ in their content, however; the CSTR indexes a full text collection, while the CSBIB is primarily a bibliographic database. Differences in searching behavior between the two systems may indicate the effect of differing search facilities and content type.