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What Do People Ask for on the Web and How Do They Ask It: ASK JEEVES Query Analysis.
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
Multitasking Web Searching and Implications for Design.
Ozmutlu, Seda; Ozmutlu, H. C.; Spink, Amanda – Proceedings of the ASIST Annual Meeting, 2003
Findings from a study of users' multitasking searches on Web search engines include: multitasking searches are a noticeable user behavior; multitasking search sessions are longer than regular search sessions in terms of queries per session and duration; both Excite and AlltheWeb.com users search for about three topics per multitasking session and…
Descriptors: Computer Interfaces, Design Preferences, Information Retrieval, Online Searching
The Effect of Individual Differences on Searching the Web.
Ihadjadene, Madjid; Chaudiron, Stephanne,; Martins, Daniel – Proceedings of the ASIST Annual Meeting, 2003
Reports results from a project that investigated the influence of two types of expertise--knowledge of the search domain and experience of the Web search engines--on students' use of a Web search engine. Results showed participants with good knowledge in the domain and participants with high experience of the Web had the best performances. (AEF)
Descriptors: Computer Literacy, Information Processing, Information Retrieval, Knowledge Level