Analysis of a very large web search engine query log
ACM SIGIR Forum
The production of ‘context’ in information seeking research: a metatheoretical view
Information Processing and Management: an International Journal - Special issue on Information Seeking In Context (ISIC)
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Multitasking information seeking and searching processes
Journal of the American Society for Information Science and Technology
Analysis of large data logs: an application of Poisson sampling on excite web queries
Information Processing and Management: an International Journal
Combining evidence for automatic web session identification
Information Processing and Management: an International Journal - Issues of context in information retrieval
U.S. versus European web searching trends
ACM SIGIR Forum
A Study of Multitasking Web Search
ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
Multimedia web searching trends: 1997-2001
Information Processing and Management: an International Journal
Trends in Multimedia Web Searching: Excite Queries
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
A day in the life of web searching: an exploratory study
Information Processing and Management: an International Journal
Automatic new topic identification using multiple linear regression
Information Processing and Management: an International Journal
Defining a session on Web search engines: Research Articles
Journal of the American Society for Information Science and Technology
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
A survey on session detection methods in query logs and a proposal for future evaluation
Information Sciences: an International Journal
Identifying the optimal set of parameters for new topic identification through experimental design
Expert Systems with Applications: An International Journal
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The analysis of contextual information in search engine query logs enhances the understanding of Web users' search patterns. Obtaining contextual information on Web search engine logs is a difficult task, since users submit few number of queries, and search multiple topics. Identification of topic changes within a search session is an important branch of search engine user behavior analysis. The purpose of this study is to investigate the properties of a specific topic identification methodology in detail, and to test its validity. The topic identification algorithm's performance becomes doubtful in various cases. These cases are explored and the reasons underlying the inconsistent performance of automatic topic identification are investigated with statistical analysis and experimental design techniques.