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Saracevic, Tefko | 8 |
Spink, Amanda | 3 |
Jansen, Major B. J. | 1 |
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Saracevic, Tefko – Proceedings of the ASIS Annual Meeting, 1996
Examines traditional and interactive models that have emerged in information retrieval (IR), and proposes an interactive IR model based on different levels in the interactive processes. Analyzes strengths and weaknesses of the traditional model. Concludes with general remarks on the state of IR interaction research. (Author/AEF)
Descriptors: Computer Oriented Programs, Information Retrieval, Information Seeking, Information Sources
Spink, Amanda; Saracevic, Tefko – Proceedings of the ASIS Annual Meeting, 1993
Discussion of the selection of search terms during an online search involving users and intermediaries focuses on a study that investigated at what stage of the search process search terms from different sources were selected, how terms were connected with retrieval of relevant answers, and the sequences in which terms were selected. (Contains 16…
Descriptors: Algorithms, Online Searching, Relevance (Information Retrieval), Search Strategies

Spink, Amanda; Wolfram, Dietmar; Jansen, Major B. J.; Saracevic, Tefko – Journal of the American Society for Information Science and Technology, 2001
Reports findings from a study of searching behavior by over 200,000 users of the Excite search engine. Analysis of over one million queries revealed most people use few search terms, few modified queries, view few Web pages, and rarely use advanced search features. Concludes that Web searching by the public differs significantly from searching of…
Descriptors: Information Retrieval, Information Seeking, Internet, Online Searching
Spink, Amanda; Saracevic, Tefko – Proceedings of the ASIS Annual Meeting, 1992
This report, selected from the results of a larger study of online searching, focuses on the sources of search terms. Terms from users, professional intermediaries, thesauri, and relevance feedback are examined; and the relevance of retrieved items is discussed for each source of search terms as well as for combinations of sources. (12 references)…
Descriptors: Feedback, Interviews, Man Machine Systems, Online Searching
Saracevic, Tefko – Proceedings of the ASIS Annual Meeting, 1997
Presents a stratified model of information retrieval interaction that views interaction as a dialog between participants (user and computer) through an interface. Discusses traditional and interaction models, and extension to relevance, user modeling, search term selection, and types of feedback in information retrieval. (AEF)
Descriptors: Computer Interfaces, Feedback, Information Retrieval, Information Seeking
Saracevic, Tefko; Kantor, Paul – Library Journal, 1991
Discussion of human/system interactions that are fundamental to online searching focuses on studies that examined online searchers' performance on DIALOG when they searched specific users' questions. Cognitive tests that were given to searchers are described; and calculating the odds for relevance, precision, and recall is explained. (four…
Descriptors: Cognitive Style, Cognitive Tests, Computer System Design, Man Machine Systems
Saracevic, Tefko; And Others – 1987
This two-volume document describes a study which focused on characterizing the elements involved in information seeking and retrieving, particularly in relation to the cognitive decisions and human interactions involved in online information retrieval. The study objectives were to conduct experiments and observations, under conditions as close to…
Descriptors: Cognitive Processes, Decision Making, Flow Charts, Online Searching

Saracevic, Tefko; And Others – Journal of the American Society for Information Science, 1988
Three articles describe a series of observations and experiments that examined the user context of questions in information retrieval, the structure and classification of questions, cognitive traits and decision-making searchers, and different searches of the same question. (71 references) (Author/CLB)
Descriptors: Cognitive Style, Cognitive Tests, Decision Making, Evaluation Methods