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Dissertations / Theses on the topic 'Relevance feedback'

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Published: 4 June 2021
Last updated: 25 July 2025

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1

Zhang, Peng. "Approximating true relevance model in relevance feedback." Thesis, Robert Gordon University, 2013. http://hdl.handle.net/10059/808.

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Relevance is an essential concept in information retrieval (IR) and relevance estimation is a fundamental IR task. It involves not only document relevance estimation, but also estimation of user's information need. Relevance-based language model aims to estimate a relevance model (i.e., a relevant query term distribution) from relevance feedback documents. The true relevance model should be generated from truly relevant documents. The ideal estimation of the true relevance model is expected to be not only effective in terms of mean retrieval performance (e.g., Mean Average Precision) over all
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2

Xu, Zuobing. "Active relevance feedback algorithms /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2008. http://uclibs.org/PID/11984.

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3

Yamout, Fadi. "Relevance Feedback Using Weight Propagation." Thesis, University of Sunderland, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485442.

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A new relevance feedback technique called Weight Propagation has been developed which provides greater retrieval effectiveness than previously described techniques. Documents judged relevant by the user propagate positive Weights to documents close by in vector similarity space, while documents judged not relevant propagate Negative Weights to such neighbouring documents. Variants of Weight Propagation are also described, namely WPI and WPR (inspired by Ide and Rocchio respectively), and WPY which is the main focus of this thesis, where only the maximum weight propagated to each document is co
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Ruthven, Ian. "Abduction, explanation and relevance feedback." Thesis, University of Glasgow, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392605.

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5

Krishnan, Sharenya. "Text-Based Information Retrieval Using Relevance Feedback." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53603.

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Europeana, a freely accessible digital library with an idea to make Europe's cultural and scientific heritage available to the public was founded by the European Commission in 2008. The goal was to deliver a semantically enriched digital content with multilingual access to it. Even though they managed to increase the content of data they slowly faced the problem of retrieving information in an unstructured form. So to complement the Europeana portal services, ASSETS (Advanced Search Service and Enhanced Technological Solutions) was introduced with services that sought to improve the usability
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6

Vinay, V. "The relevance of feedback for text retrieval." Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1446146/.

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Relevance Feedback is a technique that helps an Information Retrieval system modify a query in response to relevance judgements provided by the user about individual results dis played after an initial retrieval. This thesis begins by proposing an evaluation framework for measuring the effectiveness of feedback algorithms. The simulation-based method in volves a brute force exploration of the outcome of every possible user action. Starting from an initial state, each available alternative is represented as a traversal along one branch of a user decision tree. The use of the framework is illust
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Gusenbauer, Stefan. "Relevance feedback in information retrieval a comparison including a practical evaluation of several approaches to relevance feedback in information retrieval." Saarbrücken VDM Verlag Dr. Müller, 2006. http://d-nb.info/989497259/04.

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8

Jin, Lan. "Relevance feedback in the retrieval of reusable software components." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22831.pdf.

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9

Djordjevic, Divna. "User relevance feedback, search and retrieval of visual content." Thesis, Queen Mary, University of London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432897.

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Ng, Chee Un. "Image retrieval using experience-based relevance feedback and visualisation." Thesis, University of Warwick, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425556.

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11

Cheng, Sijin. "Relevance feedback-based optimization of search queries for Patents." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154173.

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In this project, we design a search query optimization system based on the user’s relevance feedback by generating customized query strings for existing patent alerts. Firstly, the Rocchio algorithm is used to generate a search string by analyzing the characteristics of related patents and unrelated patents. Then the collaborative filtering recommendation algorithm is used to rank the query results, which considering the previous relevance feedback and patent features, instead of only considering the similarity between query and patents as the traditional method. In order to further explore th
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12

Monti, Eleonora. "Recupero con "relevance feedback" di immagini dermatologiche mediante funzioni filtranti." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14686/.

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L'incremento dei casi di melanoma cutaneo e la complessità della diagnosi portano spesso gli specialisti a ricorrere al supporto di macchinari per la diagnosi strumentale. A tal proposito è stato realizzato un progetto per la costruzione di una macchina ad alta tecnologia per il supporto medico nell'individuazione di lesioni melanocitiche. La macchina contiene un database di immagini cliniche di nevi e melanomi e, una volta acquisita l' immagine di una nuova lesione, la confronta con tutte quelle del database e recupera le immagini più vicine a quella da esaminare. Il problema affrontato in
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13

Efthimiadis, Efthimis Nikolaos. "Interactive query expansion and relevance feedback for document retrieval systems." Thesis, City University London, 1992. http://openaccess.city.ac.uk/7891/.

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This thesis is aimed at investigating interactive query expansion within the context of a relevance feedback system that uses term weighting and ranking in searching online databases that are available through online vendors. Previous evaluations of relevance feedback systems have been made in laboratory conditions and not in a real operational environment. The research presented in this thesis followed the idea of testing probabilistic retrieval techniques in an operational environment. The overall aim of this research was to investigate the process of interactive query expansion (IQE) from v
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14

Man, Chun Him. "Human face image searching system with relevance feedback using sketch." HKBU Institutional Repository, 2005. http://repository.hkbu.edu.hk/etd_ra/618.

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15

Liu, Danzhou. "EFFICIENT TECHNIQUES FOR RELEVANCE FEEDBACK PROCESSING IN CONTENT-BASED IMAGE RETRIEVAL." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2991.

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In content-based image retrieval (CBIR) systems, there are two general types of search: target search and category search. Unlike queries in traditional database systems, users in most cases cannot specify an ideal query to retrieve the desired results for either target search or category search in multimedia database systems, and have to rely on iterative feedback to refine their query. Efficient evaluation of such iterative queries can be a challenge, especially when the multimedia database contains a large number of entries, and the search needs many iterations, and when the underlying dist
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Wong, Chan Fong. "Content-based image retrieval using color quantization, rectangular segmentation, and relevance feedback." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1780398.

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Ouattara, Anatole Kinaya. "La recherche d'informations sur le Web et la méthode du Relevance Feedback." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/MQ41973.pdf.

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18

Menard, Jr Kevin Joseph. "Evaluating User Feedback Systems." Digital WPI, 2006. https://digitalcommons.wpi.edu/etd-theses/702.

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The increasing reliance of people on computers for daily tasks has resulted in a vast number of digital documents. Search engines were once luxury tools for quickly scanning a set of documents but are now quickly becoming the only practical way to navigate through this sea of information. Traditionally, search engine results are based upon a mathematical formula of document relevance to a search phrase. Often, however, what a user deems to be relevant and what a search engine computes as relevant are not the same. User feedback regarding the utility of a search result can be collected in orde
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Marques, Joselene. ""Realimentação de relevância para recuperação por conteúdo de imagens médicas visando diminuir a descontinuidade semântica"." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18062006-204746/.

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O objetivo deste projeto de Mestrado foi o estudo, a análise e o desenvolvimento de técnicas de Realimentação de Relevância (RR) para melhorar a respostas de consultas por similaridade que empregam técnicas de recuperação de imagens por conteúdo (do inglês content-based image retrieval - CBIR). A motivação para o desenvolvimento deste projeto veio do iRIS (internet Retrieval of Images System), que é um protótipo de servidor Web para o processamento de consultas por similaridade, em construção no GBdI (Grupo de Bases de Dados e Imagens) do ICMC-USP. O iRIS pode ser integrado a PACS (Picture and
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Nordin, Alexandra. "Improving an Information Retrieval System by Using Machine Learning to Improve User Relevance Feedback." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185184.

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The aim of this thesis work is to improve the performance of an already existing information retrieval system that uses relevance feedback for performing query expansion. It is a constant goal to improve this system because the docu- ments that are retrieved are a base for various data analysis tasks. It is therefore important that the precision and re- call are high. A user can choose to give relevance feedback when executing a query, meaning the user can mark docu- ments in the search result as relevant or irrelevant and redo the search based on this feedback. The original query will then be
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21

Eriksen, Martin. "Rocchio, Ide, Okapi och BIM : En komparativ studie av fyra metoder för relevance feedback." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18877.

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This thesis compares four relevance feedback methods. The Rocchio and Ide dec-hi algorithms for the vector space model and the binary independence model and Okapi BM25 within the probabilistic framework. This is done in a custom-made Information Retrieval system utilizing a collection containing 131 896 LA-Times articles which is part of the TREC ad-hoc collection. The methods are compared on two grounds, using only the relevance information from the 20 highest ranked documents from an initial search and also by using all available relevance information. Although a significant effect of choice
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Xu, Xiaoqian. "Shape Matching, Relevance Feedback, and Indexing with Application to Spine X-Ray Image Retrieval." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1648.pdf.

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Billerbeck, Bodo, and bodob@cs rmit edu au. "Efficient Query Expansion." RMIT University. Computer Science and Information Technology, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20060825.154852.

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Hundreds of millions of users each day search the web and other repositories to meet their information needs. However, queries can fail to find documents due to a mismatch in terminology. Query expansion seeks to address this problem by automatically adding terms from highly ranked documents to the query. While query expansion has been shown to be effective at improving query performance, the gain in effectiveness comes at a cost: expansion is slow and resource-intensive. Current techniques for query expansion use fixed values for key parameters, determined by tuning on test collections
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24

Zellhöfer, David [Verfasser], and Ingo [Akademischer Betreuer] Schmitt. "A preference-based relevance feedback approach for polyrepresentative multimedia retrieval / David Zellhöfer ; Betreuer: Ingo Schmitt." Cottbus : BTU Cottbus - Senftenberg, 2015. http://d-nb.info/1114283843/34.

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Di, Buccio Emanuele. "Design, Implementation and Evaluation of a Methodology for Utilizing Sources of Evidence in Relevance Feedback." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421639.

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The objective of an Information Retrieval system is to support the user when he searches for information by predicting the documents relevant to his information need. Prediction is performed on the basis of evidence available during the search process. User interactions are examples of sources from which this evidence can be gathered. This thesis addresses the problem of uniformly modeling heterogeneous forms of user interaction that are selected as sources for feedback. The problem of uniform source modeling is addressed by way of a complete methodology. The methodology aims at designing, i
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Bossard, Elaine Ardis. "Examining the roles of frame, frequency, and relevance in performance feedback: exploring evaluative and behavioral outcomes of decision making." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/2048.

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Feedback is often necessary to provide guidance for future decisions, and factors relating to feedback, including the way feedback information is framed, how frequently it is provided, and the relevance of that feedback in relation to one's decision, have been designated as influential for decision making tendencies. Unfortunately, research on what produces the most effective feedback is mixed, and the relationship between these factors and resulting evaluative and behavioral outcomes in less clear. Four studies explored the relations
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com, chungkp@yahoo, and Kien Ping Chung. "Intelligent content-based image retrieval framework based on semi-automated learning and historic profiles." Murdoch University, 2007. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070831.123947.

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Over the last decade, storage of non text-based data in databases has become an increasingly important trend in information management. Image in particular, has been gaining popularity as an alternative, and sometimes more viable, option for information storage. While this presents a wealth of information, it also creates a great problem in retrieving appropriate and relevant information during searching. This has resulted in an enormous growth of interest, and much active research, into the extraction of relevant information from non text-based databases. In particular,content-based image ret
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Smith, Martin Philip. "The effectiveness of document ranking and relevance feedback techniques in a thesaurus-based search intermediary system." Thesis, University of Huddersfield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296001.

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Pöttker, Luciana Maria Vieira [UNESP]. "Arquitetura para recuperação de objetos de aprendizagem – uma abordagem baseada em agentes inteligentes e relevance feedback." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/150090.

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Submitted by LUCIANA MARIA VIEIRA PÖTTKER null (lucianamvp@yahoo.com.br) on 2017-04-04T01:43:01Z No. of bitstreams: 1 TeseFinal_LucianaPottker.pdf: 5401363 bytes, checksum: 3523880a95ba6b047b73fd0769dc3e39 (MD5)<br>Rejected by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br), reason: Solicitamos que realize uma nova submissão seguindo a orientação abaixo: O arquivo submetido está sem a ficha catalográfica. A versão submetida por você é considerada a versão final da dissertação/tese, portanto não poderá ocorrer qualquer alteração em seu conteúdo após a aprovação. Corrija e
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Pöttker, Luciana Maria Vieira. "Arquitetura para recuperação de objetos de aprendizagem - uma abordagem baseada em agentes inteligentes e relevance feedback /." Marília, 2017. http://hdl.handle.net/11449/150090.

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Orientador: Edberto Ferneda<br>Banca: Elvis Fusco<br>Banca: Walter Moreira<br>Banca: Ana Carolina Simionato<br>Banca: Rachel Cristina Vesu Alves<br>Resumo: Desde a sua criação, a Web tem crescido a um ritmo sem precedentes, situação esta que exigiu mudanças na forma como a sociedade busca e tem acesso à informação. O incremento informacional foi observado em todas as áreas do conhecimento e, desde então, problemas relacionados à recuperação de informação são investigados. No escopo dessa investigação, são pesquisados objetos de aprendizagem que estejam descritos, em um padrão de metadados educ
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Ekberg-Selander, Karin, and Johanna Enberg. "Query Expansion : en jämförande studie av Automatisk Query Expansion med och utan relevans-feedback." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18416.

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In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiveness. In this thesis we use QE in the sense that a reformulation of the query is done by deleting the terms in the initial query and instead replacing them with terms from the documents retrieved in the initial run. The aim of this thesis is to, in a experimental full text invironment, study and compare the retrieval result of two different query expansion strategies in relation to each other. The following questions are addressed by the study: How do the two strategies perform in relation to eac
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Lipani, Aldo. "Query rewriting in information retrieval: automatic context extraction from local user documents to improve query results." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4528/.

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The central objective of research in Information Retrieval (IR) is to discover new techniques to retrieve relevant information in order to satisfy an Information Need. The Information Need is satisfied when relevant information can be provided to the user. In IR, relevance is a fundamental concept which has changed over time, from popular to personal, i.e., what was considered relevant before was information for the whole population, but what is considered relevant now is specific information for each user. Hence, there is a need to connect the behavior of the system to the condition of a part
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Bot, Razvan Stefan. "Improving document representation by accumulating relevance feedback the relevance feedback accumulation (RFA) algorithm /." Thesis, 2005. http://library1.njit.edu/etd/fromwebvoyage.cfm?id=njit-etd2005-127.

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"World-wide web information discovery via relevance feedback." 1998. http://library.cuhk.edu.hk/record=b5889686.

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Yue Che Wang, Kenneth.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1998.<br>Includes bibliographical references (leaves 100-106).<br>Abstract also in Chinese.<br>Abstract --- p.i<br>Abstract (Chinese) --- p.iv<br>Acknowledgement --- p.vi<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- The World-Wide Web --- p.1<br>Chapter 1.2 --- Searching Information on the WWW --- p.2<br>Chapter 1.3 --- Intelligent content-based information discovery on the Web --- p.4<br>Chapter 1.4 --- Organization of the Thesis --- p.7<br>Chapter 2 --- Literature Review --- p.9<br>Chapter 2.1 -
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Lo, Yi-Jong, and 羅一中. "Using non-relevance feedback to enhance personalized search." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/3c49e3.

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碩士<br>國立臺北科技大學<br>資訊工程系研究所<br>98<br>With advances in Web technology, people can easily search lots of information on the Web by using search engines. Given user queries, general Web search only cares about the relevant documents for most of the users. Thus, personalized search has become an important research topic since it concerns about different user’s preferences. Now there are several ways to implement personalized search: predefining user custom search, classifying user preferences by analyzing their previous behaviors, and using collaborative filtering or recommender systems to find ite
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Lin, Shen-mu, and 林伸穆. "Applying Novel Relevance Feedback in Query Expansion Enhancement." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/28437136319094505566.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>94<br>Query Expansion was designed to overcome the barren query words issued by the user and has been applied in many commercial products. This treatment tries to expand query words to identify users’ real requirement based on semantic computation. It may be critical to deal with the problem of information overloading and diminish the using threshold, however the modern retrieval systems usually lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. In this study, we propose the LLSF method based on
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Lin, Yi-Lain, and 林宜聯. "A Study of Image Retrieval and Relevance Feedback." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/13129725875136801854.

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碩士<br>國立東華大學<br>資訊工程學系<br>92<br>Content-Based Image Retrieval (CBIR) takes visual features, instead of textual annotations, of images as the keys to retrieval images. This thesis presents a novel feature called “frequency layer” that reveals both the color and shape of image contents with respect to different frequencies of textures from the perspective of human vision. As every user may have his own subjective perception on the same image contents, each extracted key of visual feature should be of different importance for different users. This thesis also proposes two methods of relevance f
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Wu, Ke-neng, and 吳克能. "Applying Relevance Feedback to Improving Text Classification Performance." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/86044801840439396200.

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碩士<br>國立中央大學<br>資訊管理研究所<br>99<br>With the rapid development of the Internet, the information explosion across the Internet offers access to an increasing amount of information. Information retrieval system is playing an important role in the information retrieval process. In order to improve the retrieval quality and provide information in line with users’ need, “text classification” is an important issue. The study proposes an approach extracting information of relevance feedback to construct user profile for feature selection and term weighting adjustment of documents, and this approach cons
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Lee, Hung-Yi, and 李宏毅. "Spoken Content Retrieval - Relevance Feedback, Graphs and Semantics." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/93584222510389974705.

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博士<br>國立臺灣大學<br>電信工程學研究所<br>100<br>Multimedia content over the Internet is very attractive, while the spoken part of such content very often tells the core information. Therefore, spoken content retrieval will be very important in helping users retrieve and browse efficiently across the huge qualities of multimedia content in the future. There are usually two stages in typical spoken content retrieval approaches. In the first stage, the audio content is recognized into text symbols by an Automatic Speech Recognition (ASR) system based on a set of acoustic models and language models. In the sec
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Ming-Han, Hsieh. "Region-Based Image Retrieval by Use of Relevance Feedback." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2607200518462800.

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Li, Jin-Der, and 李進德. "Content-based Image Retrieval with Object-based Relevance Feedback." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/66283677272079652553.

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碩士<br>義守大學<br>資訊工程學系<br>88<br>Content-based retrieval is the most convenient way for querying multimedia data. It has become one of the most important research directions on multimedia information retrieval. Many related researches have been proposed in the past years. In this thesis, we propose a new approach for content-based image retrieval and implement a prototype to evaluate the efficiency and effectiveness of the proposed approach. Three kinds of features in images including color, shape and spatial relationship are used to measure the similarity between two images. The proposed approac
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"Learning on relevance feedback in content-based image retrieval." 2004. http://library.cuhk.edu.hk/record=b5892070.

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Hoi, Chu-Hong.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2004.<br>Includes bibliographical references (leaves 89-103).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.iv<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Content-based Image Retrieval --- p.1<br>Chapter 1.2 --- Relevance Feedback --- p.3<br>Chapter 1.3 --- Contributions --- p.4<br>Chapter 1.4 --- Organization of This Work --- p.6<br>Chapter 2 --- Background --- p.8<br>Chapter 2.1 --- Relevance Feedback --- p.8<br>Chapter 2.1.1 --- Heuristic Weighting Methods --- p.9<
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Wu, Jyun-Yue, and 吳君岳. "Adaptive Image Retrieval by Relevance Feedback onPositive/Negative Examples." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/hhns27.

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碩士<br>國立東華大學<br>資訊工程學系<br>95<br>It is a difficult but need to proceeding task to understand users’ demand in a content-based image retrieval system. The subjectivity of different users will affect the retrieval results. Relevance feedback(RF) is an effective tool for taking the user’s subjectivity into account. RF provides a scheme that understands the user’s demand and reduces the subjectivity of different users. In this paper, we present a new RF framework: there are two image sets, one is the positive images set and the other one is the negative images set which are both classified by the u
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Hsieh, Ming-Han, and 謝明翰. "Region-Based Image Retrieval by Use of Relevance Feedback." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/83936610906625897051.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>93<br>With the exponential growth of multi-media data, finding images in a large database has become more difficult. Region-based image retrieval (RBIR) is used for solving this problem in this thesis. There are some differences between RBIR and traditional content-based image retrieval (CBIR) systems. CBIR is focused on the similarity of global images and RBIR is focused on the similarity of the local image regions. We apply the watershed segmentation to segment each image into some regions. To classify these regions, the fuzzy k-means clustering algorithm is time-
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Lan, Ing-Ren, and 藍英仁. "Relevance Feedback for Image Retrieval Using Multi-color Descriptor." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/91847104280984370288.

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碩士<br>義守大學<br>資訊工程學系<br>92<br>In the recent years, digital multimedia has been applied for various applications. Effective management becomes an important role for retrieval from database. This thesis aims at building a content-based retrieving system to retrieve desired images from database. There are two main contributions. First, we propose an image feature database based on human’s perception. This method collects the information of center region in an image, The system is divided into a global feature database, regional feature database to the choice of the feature database whi
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Yan, Rung-Da, and 顏榮達. "Interactive MPEG-4 Video Retrieval System with Relevance Feedback." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/87345185491039142089.

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Yang, Duen-Chi, and 楊敦淇. "Using Relevance Feedback in Bayesian Probabilistic Mixture Retrieval Model." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/19440194867358068355.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>91<br>A procedure is studied for the purpose of retrieval efficiency improvement for text data to save the cost for who eager for information. In this thesis, a new relevance feedback technique is developed and applied for information retrieval. We focus on automatically adapting model parameters to improve the retrieval performance. Traditionally, the “query expansion” and “query term reweighting” are viewed as two popular of relevance feedback approaches. In this study, the retrieval framework is based on the mixture N-gram model. To improve the retrieval perfo
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Tao, Ju-Lan, and 陶如蘭. "Content-Based Image Retrieval by Use of Relevance Feedback." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/31603013491059749097.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>90<br>The aim of this thesis is to build a content-based image retrieval system. It is to retrieve the desired images for a user from a large image database, based on the image contents. In the thesis, a system is implemented and two contributions are made for content-based image retrieval. One is the design of a new feature based on the results of multi-scale watershed image segmentation, which measures the distribution of colors and sizes of segmented regions. The other one is the derivation of a new method for relevance feedback based on Bayesian formulation. In
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Liu, Yi-Min, and 柳依旻. "Adaptive Relevance Feedback Techniques for Content-Based Image Retrieval." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/18126839365646713051.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>95<br>Due to the popularity of Internet and the growing demand of image access, the volume of image databases is exploding. Hence, we need a more efficient and effective image searching technology. Relevance feedback (RF) is an interaction process between the user and the system such that the user’s information need is satisfied by the retrievals from the system. Traditional RF techniques use the same system parameter values for all types of query images. It is questionable that the best performance can be obtained through such setting. Hence, we propose self-adapti
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Chan, Li-Wei. "Content-Based Object Movie Retrieval by Use of Relevance Feedback." 2004. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2607200419433500.

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