An analysis of Internet search engines: assessment of over 200 search queries
Computers in Libraries
Accessibility of information on the Web
intelligence
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Vox populi: the public searching of the Web
Journal of the American Society for Information Science and Technology
Randomized Signal Processing
A day in the life of web searching: an exploratory study
Information Processing and Management: an International Journal
Application of automatic topic identification on excite web search engine data logs
Information Processing and Management: an International Journal
Sample size and informetric model goodness-of-fit outcomes: a search engine log case study
Journal of Information Science
Automatic new topic identification using multiple linear regression
Information Processing and Management: an International Journal
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
ACM Transactions on Computer-Human Interaction (TOCHI)
Towards personalized recommendation by two-step modified Apriori data mining algorithm
Expert Systems with Applications: An International Journal
Standard parameters for searching behaviour in search engines and their empirical evaluation
Journal of Information Science
Time series analysis of a Web search engine transaction log
Information Processing and Management: an International Journal
Application of automatic topic identification on Excite Web search engine data logs
Information Processing and Management: an International Journal
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Identifying the optimal set of parameters for new topic identification through experimental design
Expert Systems with Applications: An International Journal
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Search engines are the gateway for users to retrieve information from the Web. There is a crucial need for tools that allow effective analysis of search engine queries to provide a greater understanding of Web users' information seeking behavior. The objective of the study is to develop an effective strategy for the selection of samples from large-scale data sets. Millions of queries are submitted to Web search engines daily and new sampling techniques are required to bring these databases to a manageable size, while preserving the statistically representative characteristics of the entire data set. This paper reports results from a study using data logs from the Excite Web search engine. We use Poisson sampling to develop a sampling strategy, and show how sample sets selected by Poisson sampling statistically effectively represent the characteristics of the entire dataset. In addition, this paper discusses the use of Poisson sampling in continuous monitoring of stochastic processes, such as Web site dynamics.