Дисертації з теми "Information retrieval User education"
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Knight, Shirlee-ann. "User perceptions of information quality in world wide web information retrieval behaviour." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2007. https://ro.ecu.edu.au/theses/316.
Повний текст джерелаHill, Belinda Kaye. "Weaving information : students' use of the Internet to find information /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7667.
Повний текст джерелаElkerton, Jay. "A behavioral evaluation of command-selection aids for inexperienced computer users/." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53875.
Повний текст джерелаPh. D.
Seamans, Nancy H. "Information Literacy: A Study of Freshman Students' Perceptions, with Recommendations." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/27705.
Повний текст джерелаPh. D.
Haberle, Nikky. "Developing an evaluative framework for information literacy interventions." Thesis, Cape Technikon, 2001. http://hdl.handle.net/20.500.11838/1892.
Повний текст джерелаThis study presents a theoretical evaluative framework for information literacy initiatives. The evaluative framework is based on a holistic behavioural taxonomic approach incorporating affective, cognitive, and physical domains. In this study the behavioural taxonomic approach was applied to the evaluation of a historical information literacy initiative, the IFYE (Integrated First Year Experience), developed by the Cape T echnikon in 1997, South Africa. The motivating factor behind the evaluation was to determine whether it would be suitable as an implementable initiative at other institutions in the Western Cape. This coincided with the aims of Infolit, who had invited institutions of Higher Education to submit pilot projects on information literacy in a drive to promote information literacy throughout the Western Cape. Although the IFYE initiative may not have realised its full potential, information literacy has drawn continued interest and other initiatives have since been developed. Application of two eXlsttng taxonomles, demonstrated distinct limitations in their application and a new taxonomy was developed within the South African educational context. The new taxonomy was applied to the theoretical evaluation of an innovative elearning information literacy initiative developed by the Cape Technikon in 2000, which has been accepted by Infolit for wider implementation throughout the Western Cape. The final section of the study presents recommendations based on the evaluation of the elearning initiative, information literacy initiatives in general, and structural changes to the developed taxonomy. Areas for further research are also discussed.
Fortin, Maurice G. "Faculty Use of the World Wide Web: Modeling Information Seeking Behavior in a Digital Environment." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2723/.
Повний текст джерелаDavis, 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/.
Повний текст джерелаPeet, Martha Stuart Williamson. "The gathering and use of information by fifth grade students with access to Palm® handhelds." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4398/.
Повний текст джерелаMalaney, Gary Douglas. "The coordination of information in a highly differentiated organization : use of a computerized relational data base system as an integrating device for monitoring graduate education /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487261919113367.
Повний текст джерелаCross, Doug D. "Determining Standards for Sources of Free Information on the Internet for Inclusion in Academic Library Holdings by 2010." Digital Commons @ East Tennessee State University, 2002. https://dc.etsu.edu/etd/715.
Повний текст джерелаShao, Bo. "User-centric Music Information Retrieval." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/416.
Повний текст джерелаEvans, Paul. "A multimedia system to instruct novice users of online library catalogues." View thesis, 1996. http://library.nepean.uws.edu.au/about/staff/thesis.html.
Повний текст джерелаEvans, Paul. "A multimedia system to instruct novice users of online library catalogues." Thesis, View thesis, 1996. http://hdl.handle.net/1959.7/uws:342.
Повний текст джерелаCostello, Anthony. "Facilitating Information Retrieval in Social Media User Interfaces." Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6257.
Повний текст джерелаPh.D.
Doctorate
Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering
Addy, Nicholas G. "Ontology driven geographic information retrieval." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/2526.
Повний текст джерелаKacem, Sahraoui Ameni. "Personalized information retrieval based on time-sensitive user profile." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30111/document.
Повний текст джерелаRecently, search engines have become the main source of information for many users and have been widely used in different fields. However, Information Retrieval Systems (IRS) face new challenges due to the growth and diversity of available data. An IRS analyses the query submitted by the user and explores collections of data with unstructured or semi-structured nature (e.g. text, image, video, Web page etc.) in order to deliver items that best match his/her intent and interests. In order to achieve this goal, we have moved from considering the query-document matching to consider the user context. In fact, the user profile has been considered, in the literature, as the most important contextual element which can improve the accuracy of the search. It is integrated in the process of information retrieval in order to improve the user experience while searching for specific information. As time factor has gained increasing importance in recent years, the temporal dynamics are introduced to study the user profile evolution that consists mainly in capturing the changes of the user behavior, interests and preferences, and updating the profile accordingly. Prior work used to discern short-term and long-term profiles. The first profile type is limited to interests related to the user's current activities while the second one represents user's persisting interests extracted from his prior activities excluding the current ones. However, for users who are not very active, the short-term profile can eliminate relevant results which are more related to their personal interests. This is because their activities are few and separated over time. For users who are very active, the aggregation of recent activities without ignoring the old interests would be very interesting because this kind of profile is usually changing over time. Unlike those approaches, we propose, in this thesis, a generic time-sensitive user profile that is implicitly constructed as a vector of weighted terms in order to find a trade-off by unifying both current and recurrent interests. User profile information can be extracted from multiple sources. Among the most promising ones, we propose to use, on the one hand, searching history. Data from searching history can be extracted implicitly without any effort from the user and includes issued queries, their corresponding results, reformulated queries and click-through data that has relevance feedback potential. On the other hand, the popularity of Social Media makes it as an invaluable source of data used by users to express, share and mark as favorite the content that interests them
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.
Повний текст джерелаEnnis, Mark. "Modelling the IR task : supporting the user." Thesis, City University London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287670.
Повний текст джерелаGatian, Amy Elizabeth Williams. "User information satisfaction (UIS) and user productivity: an empirical examination." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54361.
Повний текст джерелаPh. D.
Fuhr, Norbert Grossjohann Kai Kriewel Sascha. "A Query Language and User Interface for XML Information Retrieval." Gerhard-Mercator-Universitaet Duisburg, 2004. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-07022004-114955/.
Повний текст джерелаIn:
Intelligent Search on XML Data : Applications, Languages, Models, Implementations, and Benchmarks / Henk Blanken ... [et al.] (eds.)- Berlin : Springer, 2003. - ISBN 3-540-40768-5, S. 59-75Backhausen, Daniel [Verfasser]. "Adaptive User Support in Interactive Information Retrieval Processes / Daniel Backhausen." Hagen : FernUniversität in Hagen, 2017. http://d-nb.info/1137181699/34.
Повний текст джерелаVeerasamy, Aravindan. "Visualization and user interface techniques for interactive information retrieval systems." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/9244.
Повний текст джерелаRobins, 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/.
Повний текст джерелаBanwell, Linda M. "PLUS : a system architecture for Personalized Library User Support." Thesis, University of Exeter, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359596.
Повний текст джерелаXie, Haiyan. "User model driven architecture for information retrieval in construction project management." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0008374.
Повний текст джерелаMullany, Michael John. "An analysis of the relationship between analyst-user cognitive style differences and user resistance to information systems." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/15855.
Повний текст джерелаThis study investigated the relationships between user resistance to new information systems and other factors, the chief of which was the differences in cognitive problem-solving styles between systems developers (analysts) and users. In addition, associations were tested between user resistance and the following: system accuracy, system reliability, the analyst's attitude, the analyst-user relationship, analyst-user dissonance, the user's age and the user's length of service with his current employer. All data was collected at confidential interviews with the key users and key analysts of 34 post-implementation systems service were recorded at these interviews. Ages and lengths of User resistance was determined from the number of complaints made by users regarding the systems and their manner of implementation. Cognitive style was measured using the Kirton Adaption-innovation Inventory (KAI). All other parameters were measured as responses to suitably phrased questions, quantified using seven-point scales. A significant positive association between user resistance and analyst-user cognitive style difference was found. A model was then developed which enables the estimation of user resistance prior to system development with the aid of the KAI. Significant negative associations were found to exist between user resistance and system accuracy, and user resistance and system reliability. No relationships between user resistance and either user age or user length of service were found.
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.
Повний текст джерелаAlbertson, Dan Edward. "A domain-centric approach to designing user interfaces of video retrieval systems." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3277961.
Повний текст джерелаSource: Dissertation Abstracts International, Volume: 68-09, Section: A, page: 3643. Adviser: Javed Mostafa. Title from dissertation home page (viewed Apr. 30, 2008).
Tramullas, Jesús, and Ana I. Sánchez-Casabón. "Scientific information retrieval behavior: A case study in students of Philosophy." Madrid: Univ. Autónoma de Madrid, 2010. http://hdl.handle.net/10150/252852.
Повний текст джерелаGreisdorf, Howard F. "Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2717/.
Повний текст джерелаAhmed, S. M. Zabed. "A user-centered design of a web-based interface to bibliographic databases." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/6893.
Повний текст джерелаMooney, Gabrielle Joanne. "Intelligent information retrieval from the World Wide Web using fuzzy user modelling." Thesis, De Montfort University, 1999. http://hdl.handle.net/2086/10685.
Повний текст джерелаKonstantelos, Leonidas. "Digital art in digital libraries : a study of user-oriented information retrieval." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1333/.
Повний текст джерелаHider, Philip Martin. "User redefinition of search goals through interaction with an information retrieval system." Thesis, City, University of London, 2004. http://openaccess.city.ac.uk/19506/.
Повний текст джерелаLimbu, Dilip Kumar. "Contextual information retrieval from the WWW." Click here to access this resource online, 2008. http://hdl.handle.net/10292/450.
Повний текст джерелаHopfgartner, Frank. "Personalised video retrieval : application of implicit feedback and semantic user profiles." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/2132/.
Повний текст джерелаMaglaughlin, Kelly L., and Diane H. Sonnenwald. "User Perspectives on Relevance Criteria: A Comparison among Relevant, Partially Relevant, and Not-Relevant Judgments." Wiley Periodicals, Inc, 2002. http://hdl.handle.net/10150/105087.
Повний текст джерелаSahle, Eskinder. "Development of a user interface for MARIAN and CODER systems." Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-04272010-020142/.
Повний текст джерелаHeckner, Markus. "Tagging, rating, posting : studying forms of user contribution for web-based information management and information retrieval /." Boizenburg Hülsbusch, 2008. http://d-nb.info/992369916/04.
Повний текст джерелаKim, Mihye Computer Science & Engineering Faculty of Engineering UNSW. "Document management and retrieval for specialised domains: an evolutionary user-based approach." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2003. http://handle.unsw.edu.au/1959.4/19183.
Повний текст джерелаTabassum, Binte Jafar Jeniya. "Information Extraction From User Generated Noisy Texts." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1606315356821532.
Повний текст джерелаGao, Yang. "Pattern-based topic modelling and its application for information filtering and information retrieval." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/83982/1/Yang_Gao_Thesis.pdf.
Повний текст джерелаOlivares, Ríos Ximena. "Large scale image retrieval base on user generated content." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/22718.
Повний текст джерелаOnline photo sharing systems provide a valuable source of user generated content (UGC). Most Web image retrieval systems use textual annotations to rank the results, although these annotations do not only illustrate the visual content of an image, but also describe subjective, spatial, temporal, and social dimensions, complicating the task of keyword based search. The research in this thesis is focused on how to improve the retrieval of images in large scale context , i.e. the Web, using information provided by users combined with visual content from images. Di erent forms of UGC are explored, such as textual annotations, visual annotations, and click-through-data, as well as di erent techniques to combine these data to improve the retrieval of images using visual information. In conclusion, the research conducted in this thesis focuses on the impor- tance to include visual information into various steps of the retrieval of media content. Using visual information, in combination with various forms of UGC, can signi cantly improve the retrieval performance and alter the user experience when searching for multimedia content on the Web. 1
Schultz, Leah Hastings Samantha K. "Image manipulation and user-supplied index terms." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/permalink/meta-dc-9828.
Повний текст джерелаUl, Haq Raza. "Hybrid Recommender System Towards User Satisfaction." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24218.
Повний текст джерелаMcKnight, Cliff, Andrew Dillon, and John Richardson. "A Comparison of linear and hypertext formats in information retrieval." Oxford: Intellect, 1990. http://hdl.handle.net/10150/105893.
Повний текст джерелаDaniels, P. J. "Developing the user modelling function of an intelligent interface for document retrieval systems." Thesis, City University London, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380648.
Повний текст джерелаJärvelin, Kalervo. "User charge estimation in numeric online databases a methodology /." Tampere : University of Tampere, 1986. http://catalog.hathitrust.org/api/volumes/oclc/18665006.html.
Повний текст джерелаVogt, Karen Fay. "The use of technology in meeting science reform criteria: Can web-based instruction promote scientific literacy?" CSUSB ScholarWorks, 1999. https://scholarworks.lib.csusb.edu/etd-project/1861.
Повний текст джерелаMa, Hongyan. "User-system coordination in unified probabilistic retrieval exploiting search logs to construct common ground /." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1581426061&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Повний текст джерела