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Ozmutlu, H. Cenk; Spink, Amanda; Ozmutlu, Seda – Information Processing & Management, 2002
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.…
Descriptors: Information Seeking, Measurement Techniques, Sampling, Search Engines
Peer reviewed Peer reviewed
Spink, Amanda; Ozmutlu, H. Cenk – Information Processing & Management, 2002
Provides results from a study that examined queries in question format submitted to two Web search engines, Ask Jeeves and Excite. Identifies four types of user Web queries: keyword, Boolean, question, and request; discusses implications for Web search services; and suggests further research needs. (Author/LRW)
Descriptors: Keywords, Online Searching, Research Needs, Search Engines
Ozmutlu, Seda; Spink, Amanda; Ozmutlu, H. Cenk – Proceedings of the ASIST Annual Meeting, 2002
Examines and compares multimedia Web searching by Excite and FAST search engine users in 2001. Highlights include audio and video queries; time spent on searches; terms per query; ranking of the most frequently used terms; and differences in Web search behaviors of U.S. and European Web users. (Author/LRW)
Descriptors: Comparative Analysis, Foreign Countries, Multimedia Materials, Search Engines
Peer reviewed Peer reviewed
Spink, Amanda; Ozmutlu, H. Cenk; Ozmutlu, Seda – Journal of the American Society for Information Science and Technology, 2002
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…
Descriptors: Academic Libraries, Computer System Design, Databases, Higher Education
Spink, Amanda; Ozmutlu, H. Cenk – Proceedings of the ASIST Annual Meeting, 2001
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…
Descriptors: Information Seeking, Online Searching, Online Systems, Search Engines