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Dissertations / Theses on the topic 'Information retrieval Database searching'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Robins, David B. (David Bruce). "Shifts of Focus Among Dimensions of User Information Problems as Represented During Interactive Information Retrieval." Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc935560/.

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The goal of this study is to increase understanding of information problems as they are revealed in interactions among users and search intermediaries during information retrieval. Specifically, this study seeks to investigate: (a) how interaction between users and search intermediaries reveals aspects of user information problems; (b) to explore the concept of representation with respect to information problems in interactive information retrieval; and (c) how user and search intermediaries focus on aspects of user information problems during the course of searches. This project extends resea

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2

Hendry, David G. "Extensible information-seeking environments." Thesis, Robert Gordon University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337903.

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3

Taylor, Steven Joseph. "Children's usage of an information retrieval system /." Access Digital Full Text version, 1992. http://pocketknowledge.tc.columbia.edu/home.php/bybib/11230162.

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Thesis (Ed.D.)--Teachers College, Columbia University, 1992.<br>Includes tables. Typescript; issued also on microfilm. Sponsor: Robert O. McClintock. Dissertation Committee: Robert P. Taylor. Includes bibliographical references (leaves 149-157).

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4

Chen, Hsinchun, and Jinwoo Kim. "GANNET: A machine learning approach to document retrieval." M.E. Sharpe, Inc, 1994. http://hdl.handle.net/10150/105547.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Information science researchers have recently turned to new artificial intelligence-based inductive learning techniques including neural networks, symbolic learning and genetic algorithms. An overview of the new techniques and their usage in information science research is provided. The algorithms adopted for a hybrid genetic algorithms and neural nets based system, called GANNET, are presented. GANNET performed concept (keyword) optimization for user-selected documents during information retrieval using the genetic algor

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5

Porter, Brandi. "Information Retrieval Strategies of Millennial Undergraduate Students in Web and Library Database Searches." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/357.

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Millennial students make up a large portion of undergraduate students attending colleges and universities, and they have a variety of online resources available to them to complete academically related information searches, primarily Web based and library-based online information retrieval systems. The content, ease of use, and required search techniques are different between the two information retrieval systems. Students often prefer searching the Web, but in doing so often miss higher quality materials that may be available only through their library. Furthermore, each system uses different

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6

Pikas, Christina K. "Blog Searching for Competitive Intelligence, Brand Image, and Reputation Management." Information Today, Inc, 2005. http://hdl.handle.net/10150/106424.

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Reviews why it is important to search blogs for competitive intelligence, reputation management, and brand image management. Describes the structure of blogs and how to format searches in several search engines to effectively retrieve this information.

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7

Masters, Gary E. (Gary Everett). "The Effects of Increased Equipment Speed on Online Database Searching Practices." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc332315/.

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This study reports changes in online database searching at North Texas State University when equipment speed was increased. Data were from database vendor invoices and price and sale data of online equipment. The hypotheses examined the relationship between the decrease in the cost of online equipment and the change to faster online equipment and the change in the number of databases that changed for online types. The change in equipment was related to changes in the number of offline prints per hour, the average time per search, the average number of descriptors per search, the number of sear

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8

Draeger, Marco. "Use of probabilistic topic models for search." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Sep/09Sep_Draeger.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2009.<br>Thesis Advisor(s): Squire, Kevin M. "September 2009." Description based on title screen as viewed on November 5, 2009. Author(s) subject terms: Document modeling, information retrieval, semantic search, Bayesian nonparametric methods, hierarchical Bayes. Includes bibliographical references (p. 67-71). Also available in print.

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9

Chen, Junjie. "Learning hash codes for multimedia retrieval." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/684.

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The explosive growth of multimedia data in online media repositories and social networks has led to the high demand of fast and accurate services for large-scale multimedia retrieval. Hashing, due to its effectiveness in coding high-dimensional data into a low-dimensional binary space, has been considered to be effective for the retrieval application. Despite the progress that has been made recently, how to learn the optimal hashing models which can make the best trade-off between the retrieval efficiency and accuracy remains to be open research issues. This thesis research aims to develop has

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10

Evans, Mary Marcum. "The influence of retrieval system on the outcomes of ERIC searches by graduate students /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1995.

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11

Järvelin, Kalervo. "User charge estimation in numeric online databases a methodology /." Tampere : University of Tampere, 1986. http://catalog.hathitrust.org/api/volumes/oclc/18665006.html.

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12

Arens, Robert Segre Alberto Maria. "Learning to rank documents with support vector machines via active learning." [Iowa City, Iowa] : University of Iowa, 2009. http://ir.uiowa.edu/etd/331.

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13

Ross, Timothy A. "Searching without SQL: Re-engineering a database-centric web application with open-source information retrieval software." Thesis, School of Information and Library Science, 2008. http://hdl.handle.net/1901/579.

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This paper seeks to describe the process by which a database-centric web application was redesigned and rewritten to take advantage of Apache’s Lucene - an open-source information retrieval software library written in the Java programming language. After the implementation of a Lucene-based text index of “semi-structured data”, a college radio station's card catalog application was able to deliver higher-quality search results in significantly less time than it was able to do using just a relational database alone. Additionally, the dramatic improvements in speed and performance even allowed t

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14

Sullivan, Terry. "The Cluster Hypothesis: A Visual/Statistical Analysis." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2444/.

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By allowing judgments based on a small number of exemplar documents to be applied to a larger number of unexamined documents, clustered presentation of search results represents an intuitively attractive possibility for reducing the cognitive resource demands on human users of information retrieval systems. However, clustered presentation of search results is sensible only to the extent that naturally occurring similarity relationships among documents correspond to topically coherent clusters. The Cluster Hypothesis posits just such a systematic relationship between document similarity and top

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15

Daniels, Kristine Jean. "Clustering of Database Query Results." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1282.pdf.

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16

Hannigan, Gale G. "MEDLINE Metric: A method to assess medical students' MEDLINE search effectiveness." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2526/.

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Medical educators advocate the need for medical students to acquire information management skills, including the ability to search the MEDLINE database. There has been no published validated method available to use for assessing medical students' MEDLINE information retrieval skills. This research proposes and evaluates a method, designed as the MEDLINE Metric, for assessing medical students' search skills. MEDLINE Metric consists of: (a) the development, by experts, of realistic clinical scenarios that include highly constructed search questions designed to test defined search skills; (b)

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17

Francis, Caroline M. "How Information Retrieval Systems Impact on Designers' Searching Strategies Within the Early Stages of the Design Process." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16280/.

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The purpose of this research is to investigate the influences that Information Retrieval Systems such as online Search Engines and Databases have on designers' early searching strategies. The study involves the observation of designers transforming early design language into query 'keyword' language for the operation of Information Retrieval Systems and how this transition causes a shift in early design exploration. This transformation is referred to in this research as the CLASS activity; Converting Language from Abstract Searching to Specific. Findings show a common pattern across the activi

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18

Du, Plessis Mathys Cornelius. "Search algorithms on structured and unstructured data in a large database." Thesis, University of Port Elizabeth, 2004. http://hdl.handle.net/10948/d1019681.

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This project is concerned with the development of a search algorithm for a large archival database. The Port Elizabeth Genealogical Information System (PEGIS) contains a database consisting of almost 600000 individuals. The standard search algorithms are no longer sufficient to locate individuals in the database. A new algorithm was required that allows searches on any of the words or dates in the database, as well as a means to specify where in the desired record a word should occur. A ranking function of retrieved records was also required. A literature study on the field of Information Retr

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19

Li, Jianxin. "Adaptive query relaxation and processing over heterogeneous xml data sources." Swinburne Research Bank, 2009. http://hdl.handle.net/1959.3/66874.

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Thesis (Ph.D) - Swinburne University of Technology, Faculty of Information & Communication Technologies, 2009.<br>A dissertation submitted to the Faculty of Information and Communication Technologies, Swinburne University of Technology in partial fulfillment of the requirements for the degree of Doctor of Philosophy, 2009. Typescript. "August 2009". Bibliography p. 161-171.

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20

Gardner-Stephen, Paul Mark, and paul gardner-stephen@flinders edu au. "Explorations In Searching Compressed Nucleic Acid And Protein Sequence Databases And Their Cooperatively-Compressed Indices." Flinders University. Computer Science, Engineering & Mathematics, 2008. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20081111.105047.

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Nucleic acid and protein databases such as GenBank are growing at a rate that perhaps eclipses even Moores Law of increase in computational power. This poses a problem for the biological sciences, which have become increasingly dependant on searching and manipulating these databases. It was once reasonably practical to perform exhaustive searches of these databases, for example using the algorithm described by Smith and Waterman, however it has been many years since this was the case. This has led to the development of a series of search algorithms, such as FASTA, BLAST and BLAT, that are eac

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21

Weldeghebriel, Zemichael Fesahatsion. "Evaluating and comparing search engines in retrieving text information from the web." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/53740.

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Thesis (MPhil)--Stellenbosch University, 2004<br>ENGLISH ABSTRACT: With the introduction of the Internet and the World Wide Web (www), information can be easily accessed and retrieved from the web using information retrieval systems such as web search engines or simply search engines. There are a number of search engines that have been developed to provide access to the resources available on the web and to help users in retrieving relevant information from the web. In particular, they are essential for finding text information on the web for academic purposes. But, how effective and ef

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22

He, Hai. "Towards automatic understanding and integration of web databases for developing large-scale unified access systems." Diss., Online access via UMI:, 2006.

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23

Tibbo, Helen R., and Lokman I. Meho. "Finding Finding Aids on the World Wide Web." Society of American Archivists, 2001. http://hdl.handle.net/10150/105720.

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Reports results of a study to explore how well six popular Web search engines performed in retrieving specific electronic finding aids mounted on the World Wide Web. A random sample of online finding aids was selected and then searched using AltaVista, Excite, Fast Search, Google, Hotbot and Northern Light, employing both word and phrase searching. As of February 2000, approximately 8 percent of repositories listed at the 'Repositories of Primary Resources' Web site had mounted at least four full finding aids on the Web. The most striking finding of this study was the importance of using phras

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24

Sundaram, Prashanthi. "Student database access from the web." CSUSB ScholarWorks, 1998. https://scholarworks.lib.csusb.edu/etd-project/1785.

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This project, Database Access through the Web (DAW), implements a database to store academic and general information of graduate students in the Department of Computer Science, CSUSB and provides access to the database from the web. The motivation of the project comes from needs of the Graduate Coordinator, professors and department staff to access through the Internet student information concurrently.

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25

Davis, Dorothy F. (Dorothy Frances). "A Comparison of Bibliographic Instruction Methods on CD-ROM Databases." Thesis, University of North Texas, 1992. https://digital.library.unt.edu/ark:/67531/metadc279300/.

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26

Imam, Md Kaisar. "Improvements to the complex question answering models." Thesis, Lethbridge, Alta. : University of Lethbridge, c2011, 2011. http://hdl.handle.net/10133/3214.

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In recent years the amount of information on the web has increased dramatically. As a result, it has become a challenge for the researchers to find effective ways that can help us query and extract meaning from these large repositories. Standard document search engines try to address the problem by presenting the users a ranked list of relevant documents. In most cases, this is not enough as the end-user has to go through the entire document to find out the answer he is looking for. Question answering, which is the retrieving of answers to natural language questions from a document collection,

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27

Fang, Cheng-Hung. "Application for data mining in manufacturing databases." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178653424.

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28

Peng, Xiaobo. "Mediation on XQuery Views." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5442/.

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The major goal of information integration is to provide efficient and easy-to-use access to multiple heterogeneous data sources with a single query. At the same time, one of the current trends is to use standard technologies for implementing solutions to complex software problems. In this dissertation, I used XML and XQuery as the standard technologies and have developed an extended projection algorithm to provide a solution to the information integration problem. In order to demonstrate my solution, I implemented a prototype mediation system called Omphalos based on XML related technologies.

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29

Lewandowski, Dirk. "Web Searching, Search Engines and Information Retrieval." ISO Press, 2005. http://hdl.handle.net/10150/106395.

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This article discusses Web search engines; mainly the challenges in indexing the World Wide Web, the user behaviour, and the ranking factors used by these engines. Ranking factors are divided into query-dependent and query-independent factors, the latter of which have become more and more important within recent years. The possibilities of these factors are limited, mainly of those that are based on the widely used link popularity measures. The article concludes with an overview of factors that should be considered to determine the quality of Web search engines.

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30

Chen, Shih-Kwang. "Searching for information on occupational accidents." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1218551186.

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31

Powell, Allison L. "Database selection in distributed information retrieval a study of multi-collection information retrieval /." Full text, Acrobat Reader required, 2001. http://viva.lib.virginia.edu/etd/diss/SEAS/ComputerScience/2001/Powell/etd.pdf.

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32

陳淸儀 and Ching-yi Chan. "Image retrieval system based on texture and chromatic features." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223953.

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33

Chan, Ching-yi. "Image retrieval system based on texture and chromatic features." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22665249.

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34

Uwimana, Iris. "Postgraduate student success rate with free-form information searching." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2452.

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Thesis (MTech (Business Information Systems)--Cape Peninsula University of Technology, 2017.<br>The Internet has become a useful instrument in connecting users, regardless of their geographical locations, and has thus has made the world a small village where users can interact and search for information. Another aspect that has made the Internet popular amongst users, is its growing popularity as a global resource connecting millions of users surfing the Web daily, searching for and sharing information. A successful search for information depends on the user’s ability to search effectivel

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35

Tan, Kok Fong. "Extending information retrieval system model to improve interactive web searching." Thesis, Middlesex University, 2005. http://eprints.mdx.ac.uk/8027/.

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The research set out with the broad objective of developing new tools to support Web information searching. A survey showed that a substantial number of interactive search tools were being developed but little work on how these new developments fitted into the general aim of helping people find information. Due to this it proved difficult to compare and analyse how tools help and affect users and where they belong in a general scheme of information search tools. A key reason for a lack of better information searching tools was identified in the ill-suited nature of existing information retriev

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36

Dreilinger, Daniel Ethan 1970. "Scale free information retrieval : visually searching and navigating the web." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/61097.

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37

Kyaw, Tin Htet. "Formatting and searching a massive, multi-parameter clinical information database." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/36788.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 117-120).<br>Formatting data and executing time-oriented queries on a massive, multi-parameter clinical information database poses significant computational challenges. The challenges encountered in converting high-resolution waveform and trend signals in the MIMIC II (Multi-parameter Intelligent Monitoring for Intensive Care II) database from an error-prone proprietary format to a stable open-source WFDB (Waveform Database) format is p

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38

Guglielmo, Eugene J. "Intelligent information retrieval for a multimedia database using captions." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23705.

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This report describes an intelligent information retrieval system, MARIE, that employs natural language processing techniques for indexing and retrieving multimedia data. Captions describe photographs from the Naval Air Warfare Center Weapons Division, China Lake, California; the captions were written in English consisting mostly of noun phrases. For our work, an object-oriented type hierarchy represents semantic knowledge. Captions are parsed to produce a logical form, from which nouns and verbs are extracted to form keyword files. User queries are also specified in natural language. A two-ph

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39

Trenner, Lesley. "Criteria for user-friendliness in retrieval software design." Thesis, University College London (University of London), 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283822.

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40

Cox, Kevin Ross, and n/a. "Searching by browsing." University of Canberra. Information Sciences & Engineering, 1994. http://erl.canberra.edu.au./public/adt-AUC20060630.102136.

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Information retrieval (IR) is an important part of many tasks performed by people when they use computers. However, most IR research and theory isolates the IR component from the tasks performed by users. This is done by expressing user needs as a query performed on a database. In contrast this dissertation investigates the design and evaluation of information retrieval systems where the information retrieval mechanisms remain embedded in the user tasks. While there are a many different types of user tasks performed with computers we can specify common requirements for the IR needed in most ta

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41

Cho, Hansang. "Classification of functional brain data for multimedia retrieval /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/5892.

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42

Blocks, Dorothee. "A qualitative study of thesaurus integration for end-user searching." Thesis, University of South Wales, 2004. https://pure.southwales.ac.uk/en/studentthesis/a-qualitative-study-of-thesaurus-integration-for-enduser-searching(5aeaaccb-9baf-4edc-b769-1adf7fd9d256).html.

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The research conducted for this thesis investigates the impact of thesauri on users' information searching behaviour, and the integration of thesauri into information searching interfaces in order to support the searching process. The work reported here consists of two preliminary studies, which served to refine research questions and explore the methodology, followed by two in-depth studies. The two in-depth studies were conducted with FACET, an experimental system developed at the University of Glamorgan in the context of an EPSRC (Engineering and Physical Sciences Research Council)-funded p

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43

Berman, Andrew P. "Efficient content-based retrieval of images using triangle-inequality-based algorithms /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6989.

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44

Chen, QiFan. "An object-oriented database system for efficient information retrieval applications." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-170433/.

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45

Trotman, Andrew, and n/a. "Searching and ranking structured documents." University of Otago. Department of Computer Science, 2007. http://adt.otago.ac.nz./public/adt-NZDU20070403.110440.

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It is common to see documents with explicit structure marked up in languages such as XML. Queries, on the other hand, typically have no structure. There is a clear mismatch, although documents contain structure it is typically not used in information retrieval. An efficient index structure for document-centric searching is proposed and its efficiency is discussed. It is shown to be at worst linear with respect to the number of occurrences of a given search term. The algorithm is then extended to accommodate element-centric information retrieval. Ranking algorithms for structured documents

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46

Morrison, Patrick Jason. "Tagging and Searching: Search Retrieval Effectiveness of Folksonomies on the Web." [Kent, Ohio] : Kent State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1177305096.

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Thesis (M.S.)--Kent State University, 2007.<br>Title from PDF t.p. (viewed July 2, 2007). Advisor: David B. Robins. Keywords: information retrieval, search engine, social bookmarking, tagging, folksonomy, Internet, World Wide Web. Includes survey instrument. Includes bibliographical references (p. 137-141).

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Heesop, Kim. "A study of the influence of choice of record fields on retrieval performance." Thesis, Northumbria University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391752.

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48

Chu, Kai-wah Samuel, and 朱啟華. "Development of information search expertise of research students." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B45014693.

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49

Jing, Yushi. "Learning an integrated hybrid image retrieval system." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43746.

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Current Web image search engines, such as Google or Bing Images, adopt a hybrid search approach in which a text-based query (e.g. "apple") is used to retrieve a set of relevant images, which are then refined by the user (e.g. by re-ranking the retrieved images based on similarity to a selected example). This approach makes it possible to use both text information (e.g. the initial query) and image features (e.g. as part of the refinement stage) to identify images which are relevant to the user. One limitation of these current systems is that text and image features are treated as independent c

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50

吳志遠 and Chi-yuen Ng. "Recommending information sources on WWW." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224970.

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