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Tesi sul tema "Retrieval systems"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Mills, Timothy J. "Content modelling in multimedia information retrieval systems : the Cobra retrieval system." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442405.

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2

Al-Maskari, Azzah. "Evaluation of interactive information retrieval systems." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538079.

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3

Zhang, Dengsheng 1963. "Image retrieval based on shape." Monash University, School of Computing and Information Technology, 2002. http://arrow.monash.edu.au/hdl/1959.1/8688.

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4

Romano, Nicholas C., Dmitri G. Roussinov, Jay F. Nunamaker, and Hsinchun Chen. "Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems." HICSS, 1999. http://hdl.handle.net/10150/105688.

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Abstract (sommario):

Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress

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5

Xie, Jinsheng. "On the analysis of selected automated storage and retrieval systems." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/25020.

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6

Watkins, Alfred R. "Continuous media object modeling, storage, and retrieval." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/9184.

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7

Portabella, Arnús Marcos. "Wind Field Retrieval from Satellite Radar Systems." Doctoral thesis, Universitat de Barcelona, 2002. http://hdl.handle.net/10803/734.

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Wind observations are essential for determining the atmospheric flow. In particular, sea-surface wind observations are very useful for many meteorological and oceanographic applications. In this respect, most of the satellite remote-sensing radar systems can provide sea-surface wind information. This thesis reviews the current wind retrieval procedures for such systems, identifies the most significant unresolved problems, and proposes new methods to overcome such problems.<br/>In order to invert the geophysical model function (GMF), which relates the radar backscatter measurement with the wind

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8

Engström, Felix, and Eli Pleaner. "Learning Methods for Improving News Retrieval Systems." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187492.

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Abstract (sommario):

Content providers require an efficient and accurate way of retrieving relevant content with minimal human aid. News retrieval, for instance, often requires human intervention to recognize which text documents are news articles and which are not. The differences between a factual news article and an opinionated blog piece may be subtle, yet are critical for providing informative and relevant content to users. This thesis explores the problem of format classification: the task of classifying text documents based on the format in which they are written, such as a news article, blog entry or forum

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9

Liu, Chi-Cheng. "Implementation of parallel intelligent information retrieval systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq30509.pdf.

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10

Tang, Wai-hung, and 鄧偉雄. "An anonymity scheme for file retrieval systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40887972.

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11

Pollitt, A. S. "An expert systems approach to document retrieval." Thesis, University of Huddersfield, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372852.

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12

Revutska, H. I., and V. L. Malinkina. "Automated information retrieval systems to the internet." Thesis, КНУТД, 2016. https://er.knutd.edu.ua/handle/123456789/5039.

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13

Agbele, Kehinde Kayode. "Context-awareness for adaptive information retrieval systems." Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/3845.

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Philosophiae Doctor - PhD<br>This research study investigates optimization of IRS to individual information needs in order of relevance. The research addressed development of algorithms that optimize the ranking of documents retrieved from IRS. In this thesis, we present two aspects of context-awareness in IR. Firstly, the design of context of information. The context of a query determines retrieved information relevance. Thus, executing the same query in diverse contexts often leads to diverse result rankings. Secondly, the relevant context aspects should be incorporated in a way that support

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14

Tang, Wai-hung. "An anonymity scheme for file retrieval systems." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40887972.

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15

Janicki, James H. "Retrieval from an image knowledge base /." Online version of thesis, 1993. http://hdl.handle.net/1850/12196.

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16

Estall, Craig. "A study in distributed document retrieval." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328342.

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17

LaBouve, Eric. "Relevance Analysis for Document Retrieval." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1976.

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Abstract (sommario):

Document retrieval systems recover documents from a dataset and order them according to their perceived relevance to a user’s search query. This is a diﬃcult task for machines to accomplish because there exists a semantic gap between the meaning of the terms in a user’s literal query and a user’s true intentions. Even with this ambiguity that arises with a lack of context, users still expect that the set of documents returned by a search engine is both highly relevant to their query and properly ordered. The focus of this thesis is on document retrieval systems that explore methods of ordering

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18

Gómez, Luis Alfonso. "A two-level model for information retrieval systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq24469.pdf.

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19

Zhao, Dianguo. "Information retrieval in digital libraries : the systems aspect." Thesis, De Montfort University, 1997. http://hdl.handle.net/2086/4124.

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20

Gerber, Howard L. "Optimization information retrieval from disparate menu driven systems." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/61052.

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21

Vermilyer, Robert. "Knowledge Discovery in Content-Based Image Retrieval Systems." NSUWorks, 2005. http://nsuworks.nova.edu/gscis_etd/898.

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Abstract (sommario):

The advent of the World Wide Web and digital photography has led to a phenomenal increase in the number and complexity of stored images. Accordingly, the ability to browse and retrieve images based upon image content is of rapidly growing importance. The goals of this research project are to develop a Content-Based Image Retrieval (CBIR) system that combines dynamic, user-driven search capabilities with artificial intelligence techniques and to examine the system's effectiveness. The experimental method will be used to test the specific hypotheses and various research questions proposed in thi

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22

Williams, Michael J. "Training Aviation Maintenance Technicians with Information Retrieval Systems." NSUWorks, 2000. http://nsuworks.nova.edu/gscis_etd/924.

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The goal of this dissertation has been to examine changes in computing technology skills possessed by aircraft maintenance technicians. The perspective of this project has been from that of a Federal Aviation Administration (FAA) approved Aviation Maintenance Technician School (AMTS). Specifically, the AMTS curriculum at Embry-Riddle Aeronautical University (ERAU) in Daytona Beach, Florida, provided participants for the study. Recommendations for integrating computing technology training into the AMTS curriculum at ERAU are being proposed for planned changes to the existing curriculum. With th

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23

Maleki-Dizaji, Saeedeh. "Evolutionary learning multi-agent based information retrieval systems." Thesis, Sheffield Hallam University, 2003. http://shura.shu.ac.uk/6856/.

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Abstract (sommario):

The volume and variety of information available on the Internet has experienced exponential growth, presenting a difficulty to users wishing to obtain information that accurately matches their interests. A number of factors affect the accuracy of matching user interests and the retrieved documents. First, is the fact that users often do not present queries to information retrieval systems in the form that optimally represents the information they want. Secondly, the measure of a document's relevance is highly subjective and variable between different users. This thesis addresses this problem w

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24

Kolonias, I. "Cognitive vision systems for video understanding and retrieval." Thesis, University of Surrey, 2007. http://epubs.surrey.ac.uk/843661/.

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This thesis addresses the problem of creating computer vision systems that will facilitate high-level, user-friendly interpretation of an observed scene, and which will be readily adaptable to a wide range of computer vision tasks. Hence, the notion of injecting cognitive capabilities to traditional computer vision systems is central to this work. Initially, the requirements of creating a cognitive vision system will be examined. This will lead us to the conclusion that the two main enabling components for such systems are the following: a unified framework for reasoning in the context of the

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25

CATENA, MATTEO. "Energy efficiency in large scale information retrieval systems." Doctoral thesis, Gran Sasso Science Institute, 2017. http://hdl.handle.net/20.500.12571/9645.

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Abstract (sommario):

Web search engines are large scale information retrieval systems, which provide easy access to information on the Web. High performance query processing is fundamental for the success of such systems. In fact, web search engines can receive billions of queries per day. Additionally, the issuing users are often impatient and expect sub-second response times to their queries (e.g., 500 ms). For such reasons, search companies adopt distributed query processing strategies to cope with huge volumes of incoming queries and to provide sub-second response times. Web search engines perform distr

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26

Brooks, H. M. "An intelligent interface for document retrieval systems : Developing the problem description and retrieval strategy components." Thesis, City University London, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373324.

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27

Hyland, Peter. "Supporting the retrieval and analysis of external statistical data by casual and novice users." Access E-Book, 2001. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20011220.095735/index.html.

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28

Taraszewski, Stephen A. "Understanding Knowledge Storage/Retrieval System Success: An Analytic Network Process Perspective." Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu1493926537562139.

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29

Betts, M. P. "Coordinated information retrieval for building contractors' tendering." Thesis, London South Bank University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378209.

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30

Staniaszek, Michal. "Feature-Feature Matching For Object Retrieval in Point Clouds." Thesis, KTH, Datorseende och robotik, CVAP, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170475.

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Abstract (sommario):

In this project, we implement a system for retrieving instances of objects from point clouds using feature based matching techniques. The target dataset of point clouds consists of approximately 80 full scans of office rooms over a period of one month. The raw clouds are reprocessed to remove regions which are unlikely to contain objects. Using locations determined by one of several possible interest point selection methods, one of a number of descriptors is extracted from the processed clouds. Descriptors from a target cloud are compared to those from a query object using a nearest neighbour

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31

Veerasamy, Aravindan. "Visualization and user interface techniques for interactive information retrieval systems." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/9244.

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32

Bae, Soo Hyun. "Information retrieval via universal source coding." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26573.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Juang, Biing-Hwang; Committee Member: Al-Regib, Ghassan; Committee Member: Linda Wiils; Committee Member: Mersereau, Russell; Committee Member: Pappas, Thrasyvoulos. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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33

Reck, Ryan. "Suffix Trees for Document Retrieval." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/773.

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Abstract (sommario):

This thesis presents a look at the suitability of Suffix Trees for full text indexing and retrieval. Typically suffix trees are built on a character level, where the tree records which characters follow each other character. By building suffix trees for documents based on words instead of characters, the resulting tree effectively indexes every word or sequence of words that occur in any of the documents. Ukkonnen's algorithm is adapted to build word-level suffix trees. But the primary focus is on developing Algorithms for searching the suffix tree for exact and approximate, or fuzzy, matches

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34

Melder, Karl Henry. "PC-Gipsy : a usable PC-based image processing system /." This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-01262010-020041/.

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35

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

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Abstract (sommario):

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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36

Alaei, Fahimeh. "Texture Feature-based Document Image Retrieval." Thesis, Griffith University, 2019. http://hdl.handle.net/10072/385939.

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Abstract (sommario):

Storing and manipulating documents in digital form to contribute to a paperless society has been the propensity of emerging technology. There has been notable growth in the variety and quantity of digitised documents, which have often been scanned/photographed and archived as images without any labelling or sufficient index information. The growth of these kinds of document images will undoubtedly continue with new technology. To provide an effective way for retrieving and organizing these document images, many techniques have been implemented in the literature. However, designing automation s

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37

Müller, Michael. "Retrieval and Analysis of Software Systems from SCM Repositories." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1603.

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<p>One source of input data for software evolution research is data stored inside a software configuration management repository. The data includes different versions of a software system’s source code as well as version history metadata, such as check-in dates or log messages. Inherently, extracting this data manually is a time- and labor intensive task. The subsequent preprocessing step and the appropriate storage of the results, necessary to utilize the data for further analysis, is an additional effort for the researcher.</p><p>The goal of this thesis is to design and implement a front-end

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38

Lin, Xing. "Modern GIR Systems : Framework, Retrieval Model and Indexing Techniques." Licentiate thesis, KTH, Geoinformatik och Geodesi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-34787.

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Abstract (sommario):

Geographic information is one of the most important and the most common types of information in human society. It is estimated that more than 70% of all information in the world has some kind of geographic features. In the era of information explosion, information retrieval (IR) tools, such as search engines, are the main tools people used to quickly find the information they need nowadays. Because of the importance of geographic information, recent efforts have been made either by expanding the traditional IR to support a spatial query, or building a GIR in a brand new architecture from the g

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39

Marinheiro, Rui Miguel Neto. "Using context to integrate hypermedia with information retrieval systems." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390725.

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40

Li, Zhuoxun. "Information retrieval for automatic link creation in hypertext systems." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239393.

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41

Tsui, Carleton 1970. "Multimedia data integration and retrieval in planning support systems." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/70303.

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42

Chen, Xin. "Human-centered semantic retrieval in multimedia databases." Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2008p/chen.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2008.<br>Additional advisors: Barrett R. Bryant, Yuhua Song, Alan Sprague, Robert W. Thacker. Description based on contents viewed Oct. 8, 2008; title from PDF t.p. Includes bibliographical references (p. 172-183).

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43

France, Robert Karl. "An artificial intelligence environment for information retrieval research." Thesis, Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/91091.

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The CODER (COmposite Document Expert/Extended/Effective Retrieval) project is a multi-year effort to investigate how best to apply artificial intelligence methods to increase the effectiveness of information retrieval systems. Particular attention is being given to analysis and representation of heterogeneous documents, such as electronic mail digests or messages, which vary widely in style, length, topic, and structure. In order to ensure system adaptability and to allow reconfiguration for controlled experimentation, the project has been designed as a moderated expert system. This thesis cov

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44

Jaisimha, M. Y. "Compound document retrieval in noisy environments /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/6007.

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45

Yeung, Chung Kei. "Ontological model for information systems development methodology." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/702.

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46

Mullany, 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.

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Bibliography: pages 102-109.<br>This 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

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47

Deng, Jie. "Emotion-based music retrieval and recommendation." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/82.

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The digital music industry has expanded dramatically during the past decades, which results in the generation of enormous amounts of music data. Along with the Internet, the growing volume of quantitative data about users (e.g., users’ behaviors and preferences) can be easily collected nowadays. All these factors have the potential to produce big data in the music industry. By utilizing big data analysis of music related data, music can be better semantically understood (e.g., genres and emotions), and the user’s high-level needs such as automatic recognition and annotation can be satisfied. F

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48

Angkasith, Vorapoch. "An intelligent design retrieval system for module-based products." Diss., Columbia, Mo. : University of Missouri-Columbia, 2004. http://hdl.handle.net/10355/4085.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2004.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 30, 2006) Vita. Includes bibliographical references.

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49

Yoon, Changwoo. "Domain-specific knowledge-based informational retrieval model using knowledge reduction." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011560.

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50

Chen, Hsinchun, and Vasant Dhar. "Online Query Refinement on Information Retrieval Systems: A Process Model of Searched System Interactions." ACM, 1990. http://hdl.handle.net/10150/105597.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>This article reports findings of empirical research that investigated information searchers online query refinement process. Prior studies have recognized the information specialists' role in helping searchers articulate and refine queries. Using a semantic network and a Problem Behavior Graph to represent the online search our study revealed that searchers also refined their own queries in an online task environment. The information retrieval system played a passive role in assisting online query refinement, which was

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