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Beaulieu, M.; Robertson, S.; Rasmussen, E.: Evaluating interactive systems in TREC (1996)
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- Abstract
- The TREC experiments were designed to allow large-scale laboratory testing of information retrieval techniques. As the experiments have progressed, groups within TREC have become increasingly interested in finding ways to allow user interaction without invalidating the experimental design. The development of an 'interactive track' within TREC to accomodate user interaction has required some modifications in the way the retrieval task is designed. In particular there is a need to simulate a realistic interactive searching task within a laboratory environment. Through successive interactive studies in TREC, the Okapi team at City University London has identified methodological issues relevant to this process. A diagnostic experiment was conducted as a follow-up to TREC searches which attempted to isolate the human nad automatic contributions to query formulation and retrieval performance
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Rasmussen, E.: In memoriam : Robert R. Korfhage (1999)
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Rasmussen, E.: Access models (2011)
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Kim, S.; Rasmussen, E.: Characteristics of tissue-centric biomedical researchers using a survey and cluster analysis (2008)
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- Abstract
- The objective of this study was to characterize the types of tissue-centric users based on tissue use, requirements, and their job or work-related variables at the University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA. A self-reporting questionnaire was distributed to biomedical researchers at the UPMC. Descriptive and cluster analyses were performed to identify and characterize the complex types of tissue-based researchers. A total of 62 respondents completed the survey, and two clusters were identified based on all variables. Two distinct groups of tissue-centric users made direct use of tissue samples for their research as well as associated information, while a third group of indirect users required only the associated information. The study shows that tissue-centric users were composed of various types. These types were distinguished in terms of tissue use and data requirements, as well as by their work or research-related activities.
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Rasmussen, E.: Clustering algorithms (1992)
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- Abstract
- Cluster analysis is a technique for multivariate analysis that assigns items to automatically created groups based on a calculation of the degree of association between items and groups. In the information retrieval field, cluster analysis has been used to create groups of documents with the goal of improving the effenciency and effectiveness of retrieval, or to determine the structure of the literature of a field. The terms in a document collection can also be clustered to show their relationships. The two main types of cluster analysis methods are the nonhierarchical, which divide a data set of N items into M clusters, and the hierarchical, which produce a nested data set in which pairs of items or clusters are successively linked. The nonhierarchical methods such as the single pass and reallocation methods are heuristic in nature and require less computation than the hierarchical methods. However, the hierarchical methods have usually been preferred for cluster-based document retrieval. The commonly used hierarchical methods, such as single link, complete link, group average link, and Ward's method, have high space and time requirements. In order to cluster the large data sets with high dimensionality that are typically found in IR applications, good algorithms (ideally O(N**2) time, O(N) space) must be found. Examples are the SLINK and minimal spanning tree algorithms for the single link method, the Voorhees algorithm for group average linlk, and the reciprocal nearest neighbor algorithm for Ward's method
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McLean, S.; Spring, M.B.; Rasmussen, E.; Williams, J.G.: Online image databases : usabiblity and performance (1995)
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- Abstract
- The Promenade image retrieval system us described in terms of its design, development and architecture. Design, development and implementation issues are discussed in terms of efficiency and effectiveness. A preliminary usability study is presented and the data resulting from the preliminary study are analysed and discussed. Efficiency in terms of response time due to network delays, database processing, application processing and image characteristcs and display is discussed. Response time results frome 40 queries made to the image database are presented and discussed. The results of theses studies demonstrate where improvements in the system need to be made in order ro improve usability and response time
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