Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Analysis of a very large web search engine query log
ACM SIGIR Forum
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
The effects of topic familiarity on information search behavior
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A temporal comparison of AltaVista Web searching: Research Articles
Journal of the American Society for Information Science and Technology
Theories of Information Behavior (Asist Monograph)
Theories of Information Behavior (Asist Monograph)
Defining a session on Web search engines: Research Articles
Journal of the American Society for Information Science and Technology
A field study characterizing Web-based information-seeking tasks
Journal of the American Society for Information Science and Technology
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Multitasking during Web search sessions
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
A study of tabbed browsing among mozilla firefox users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reducing the sparsity of contextual information for recommender systems
Proceedings of the sixth ACM conference on Recommender systems
Hi-index | 0.00 |
Web search behavior is being diversified. And the diversification of web search behavior makes query both sporadic and non-sequential. In this case, it is difficult to understand why and how users search any information. Context of web search makes it possible to classify sporadic and nonsequential queries according to each interest. However, only the user him/herself can identify the context of web search behavior exactly. Hence, it is necessary to conduct a client-side research in which users are deeply engaged. The purpose of this research is to develop and apply the methodology that systematically examines the web search behavior and its context. To achieve this, (1) client-side log data is collected, then participants (2) clustered the queries based on context and (3) filled in a questionnaire as to each clustered queries. Also, interviews were conducted in each person. The finding of this study is that the features of UCQS are different from previous studies. Furthermore, we identified the flow of users' web search behavior.