Penev, Alexander , Computer Science & Engineering, Faculty of Engineering, UNSW
Technology surrounds us with many daily Search tasks. However, there is a fundamental difference---one of user familiarity and control---that differentiates between search tasks in impersonal and personal search spaces. The World Wide Web itself is largely unknown, unfamiliar and impersonal to a user. In contrast, users regularly search in more `personal' spaces, such as their own files, their web history, bookmarks, downloads, and so on. These spaces are personal because the user has more knowledge, familiarity and control over their content. A byproduct of these qualities is that search in personal spaces is typically navigational: to navigate through or to recover familiar information. This differs from web search, where very often a user is trying to discover new or unknown information. This important difference in search intent means that there are often few `correct' results for a query in personal spaces, which is something we must keep in mind when implementing search algorithms. This thesis leverages structure and metadata to build novel algorithms for improving search in several important personal search spaces: finding a file in a file hierarchy, website navigation on a mobile phone browser, tag-based search in an online bookmarking system, and sponsoring content on mobiles. The proposed methods are highly practical and applicable to current real-life search problems that affect millions of users.
Information retrieval performance enhancement using the average standard estimator and the multi-criteria decision weighted set of performance measuresAhram, Tareq Z. January 2008 (has links)
Thesis (Ph.D.)--University of Central Florida, 2008. / Adviser: Pamela McCauley-Bush. Includes bibliographical references (p. 181-197).
Najarro, Martha Argentina Barberena.
(has links) (PDF)
Ilmenau, Techn. Universiẗat, Diss., 2003.
(has links) (PDF)
Magdeburg, University, Diss., 2004.
Schäuble, Peter. Schäuble, Peter Schäuble, Peter Schäuble, Peter
Diss. no. 8784 techn. sc. SFIT Zurich. / siehe auch: Information retrieval based on information structures. Literaturverz. S. 127-135.
Roochvarg, Alan Charles,
Thesis (Ph. D.)--University of Wisconsin--Madison, 1971. / Vita. Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.
Barberena Najarro, Martha Argentina. Reschke, Dietrich
(has links) (PDF)
Techn. Univ., Diss.--Ilmenau, 2003. / Parallel als Online-Ausg. erschienen unter der Adresse http://www.db-thueringen.de/servlets/DocumentServlet?id=1601. Literaturverz. S. 181 - 188.
Lioma, Christina Amalia.
Thesis (Ph.D.) - University of Glasgow, 2008. / Ph.D. thesis submitted to the Department of Computing Science, Faculty of Information and Mathematical Sciences, University of Glasgow, 2008. Includes bibliographical references. Print version also available.
lnformation retrieval is an important but generally neglected part of the research method in psychology. On the basis of a case study, which consists of an examination of the search strategy in a Swedish dissertation, the problems of searching are overviewed, with regard to both the selection of sources, and the construction of the secarch profile. Attention is givent to subject faceting in psychology.A model used by Psychological Abstracts in building on the concepts of experimental variables is replaced by a facet model developed on the basis of the Bliss Classification System. This model is illustrated using the above-mentioned dissertation as an example, and it is shown that the model can help in formulating search queries in psycholory. Also discussed are problems that concern the use of abstracts or full texts in the selection of documents. In addition, atteniion is given to the question of types of research in psychology that can or cannot benefit from computer-based retrievl methods.
Rieh, Soo Young, Xie, Hong Iris
This preprint has been published in Information Processing & Management 42 (2006): 751-768. This study examines multiple query reformulations on the Web in the context of interactive information retrieval. The results indicate that query reformulation is the product of user interaction with the IR system as well as the cognitive, affective, and situation levels from the user side.
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