Discusses the need for tools that allow effective analysis of search engine queries to provide a greater understanding of Web users' information seeking behavior and describes a study that developed an effective strategy for selecting samples from large-scale data sets. Reports on Poisson sampling with data logs from the Excite search engine.…

Reports findings from a study examining the nature of queries submitted to Ask Jeeves-a publicly accessible question and answer search engine. Some 30,000 queries from a dataset of 800,000, or 3.75%, were analyzed. Results include: many queries not in question format; four types of user queries: keyword, Boolean, question, and request; and common…

Presents findings from four studies of the prevalence of multitasking information seeking and searching by Web (via the Excite search engine), information retrieval system (mediated online database searching), and academic library users. Highlights include human information coordinating behavior (HICB); and implications for models of information…