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1

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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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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Cheang, Chan Wa. "Web query expansion by WordNet." Thesis, University of Macau, 2005. http://umaclib3.umac.mo/record=b1445899.

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Brandao, Wladmir Cardoso. "Exploiting entities for query expansion." Universidade Federal de Minas Gerais, 2013. http://hdl.handle.net/1843/ESBF-9GMJW2.

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A substantial fraction of web search queries contain references to entities, such as persons, organizations, and locations. In this work, we propose entity-oriented query expansion approaches that exploit semantic sources of evidence devising discriminative term features and machine learning techniques that effectively combines these features to rank candidate expansion terms. Particularly, our unsupervised approach (UQEE) uses taxonomic features devised by the semantic structure implicitly provided by infobox templates, while our learning to rank approach (L2EE) considers semantic evidence en
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Höglund, Sofia. "Query expansion med semantiskt relaterade termer." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16707.

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The aim of this masters thesis is to examine query expansion. Query expansion is the process of adding new terms to a query to improve the retrieval effectiveness. In this study the baseline query was expanded in five different modes. The first expansion strategy was formulated by the inflected terms as the system does not allow truncation, I have inflected the terms, e. g. airplane, airplanes, the airplanes, etc. in the baseline strategy. The second expansion strategy consisted of synonyms from a dictionary of synonyms. For the terms in the remaining three expansion strategies a general thesa
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Bilotti, Matthew W. (Matthew William) 1981. "Query expansion techniques for question answering." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/27083.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 105-109).<br>Query expansion is a technique used to boost performance of a document retrieval engine, such as those commonly found in question answering (QA) systems. Common methods of query expansion for Boolean keyword-based document retrieval engines include inserting query terms, such as alternate inflectional or derivational forms generated from existing query terms, or dropping query terms that are, for example, deemed to be too r
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Khandpur, Rupinder P. "Augmenting Dynamic Query Expansion in Microblog Texts." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/84852.

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Dynamic query expansion is a method of automatically identifying terms relevant to a target domain based on an incomplete query input. With the explosive growth of online media, such tools are essential for efficient search result refining to track emerging themes in noisy, unstructured text streams. It's crucial for large-scale predictive analytics and decision-making, systems which use open source indicators to find meaningful information rapidly and accurately. The problems of information overload and semantic mismatch are systemic during the Information Retrieval (IR) tasks undertaken by s
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Zhuang, Wenjie. "Query Expansion Study for Clinical Decision Support." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/82068.

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Information retrieval is widely used for retrieving relevant information among a variety of data, such as text documents, images, audio and videos. Since the first medical batch retrieval system was developed in mid 1960s, significant research efforts have focused on applying information retrieval to medical data. However, despite the vast developments in medical information retrieval and accompanying technologies, the actual promise of this area remains unfulfilled due to properties of medical data and the huge volume of medical literature. Specifically, the recall and precision of the sel
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Seher, Indra. "A personalised query expansion approach using context." Thesis, View thesis, 2007. http://handle.uws.edu.au:8081/1959.7/33427.

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Users of the Web usually use search engines to find answers to a variety of questions. Although search engines can rapidly process a large number of Web documents, in many cases, the answers returned by search engines are not relevant to the user’s information need, although they do contain the same keywords as the query. This is because the Web contains information sources created by numerous authors independently, and the authors’ vocabularies vary greatly. Furthermore, most words in natural languages have inherent ambiguity. This vocabulary mismatch between user queries and Web sources is o
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Seher, Indra. "A personalised query expansion approach using context." View thesis, 2007. http://handle.uws.edu.au:8081/1959.7/33427.

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Thesis (Ph.D.)--University of Western Sydney, 2007.<br>A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy to the College of Health & Science, School of Computing and Mathematics, University of Western Sydney. Includes bibliography.
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Qiu, Yonggang. "Automatic query expansion based on a similarity thesaurus /." [S.l.] : [s.n.], 1995. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=11158.

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Ibrahim, Duraid M. "Natural language query translation and expansion in information retrieval." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0024/MQ51722.pdf.

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Magennis, Mark. "The potential and actual effectiveness of interactive query expansion." Thesis, University of Glasgow, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360116.

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Axensten, Siri. "En komparativ litteraturstudie av olika termkällor för query expansion." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17718.

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The purpose of this thesis is to make a comparative literary study of ten laboratory experiments with different kind of sources for query expansion terms. The experiments are grouped according to categories of term sources, which are: search results, collection dependent knowledge structures, collection independent knowledge structures and one that combines the two last mentioned sources into one. To enable a comparison all other variables were held as constant as possible. There is the improvement measured in mean average precision, which is used to measure the various sources potenti
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Eklund, Johan, and Anders Stenström. "En komparativ studie av fem rankningsalgoritmer för query expansion." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18322.

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The purpose of this thesis is to compare five different ranking algorithms for query expansion. The algorithms compared are f4, f4mod, porter, wpq, and emim. This is done using a TREC collection, a selection of topics, and relevance judgements. Relative recall is measured before and after the expansion of the query. The study shows that all of the algorithms manage to increase the relative recall, f4 being the one most successful.<br>Uppsatsnivå: D
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Wien, Sigurd. "Efficient Top-K Fuzzy Interactive Query Expansion While Formulating a Query : From a Performance Perspective." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23010.

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Interactive query expansion and fuzzy search are two efficient techniques for assisting a user in an information retrieval process. Interactive query expansion helps the user refine a query by giving suggestions on how a query might be extended to further specify the actual information need of the user. Fuzzy search, on the other hand, supports the user by including results for terms that approximately equals the query string. This avoids reformulating queries with slight misspellings and will retrieve results for indexed terms not spelled as expected. This study will look at the performance a
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Hellström, Else-Britt. "Den kombinerade effekten av query-expansion och query-strukturer på återvinningseffektiviteten i ett probabilistiskt system." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17554.

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This thesis deals with query formulation in full text retrieval. The variables studied were query expansion and query structur[INS: e :INS , and the aim of the thesis is to study their co-effects on retrieval performance in a probabilistic system. The expansion was made with synonyms, and the structure by expressing facets and phrases. The study was performed using QPA, Query Performance Analyzer, which includes InQuery retrieval system and a sub-collection of TREC documents with its topics. The measurement used was precision at 11 DCV points. The best result was obtained by queries with n
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Guisado, Gámez Joan. "Query expansion by relying on the structure of knowledge bases." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/460767.

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Query expansion techniques aim at improving the results achieved by a user's query by means of introducing new expansion terms, called expansion features. Expansion features introduce new concepts that are semantically related with the concepts in the user's query and that allow retrieving documents that otherwise would be not. Thus, the challenge is to select those expansion features that are capable of improving the results the most. A bad choice of expansion features may be counterproductive. In this thesis, we use an external source of information, a Knowledge Base (KB), as source expansio
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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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Bhogal, Jagdev. "Investigating ontology based query expansion using a probabilistic retrieval model." Thesis, City University London, 2011. http://openaccess.city.ac.uk/2946/.

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This research briefly outlines the problems of traditional information retrieval systems and discusses the different approaches to inferring context in document retrieval. By context we mean word disambiguation which is achieved by exploring the generalisation-specialisation hierarchies within a given ontology. Specifically, we examine the use of ontology based query expansion for defining query context. Query expansion can be done in many ways and in this work we consider the use of relevance feedback and pseudo-relevance feedback for query expansion. We examine relevance feedback and pseudo-
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Kojic, Kemal, and Emil Petersson. "Automatisk synonymgenerering med Word2Vec for query expansion inom e-handel." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20818.

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I detta arbete undersöks hur väl automatisk synonymgenerering genom maskininlärnings-metoden Word2Vec, som tränats över en datamängd från Google News på hundra miljarder ord, lämpar sig för query expansion inom ehandel. Detta görs genom användning av produkt- och eventdata från ett välkänt modebolag där synonymer genereras utifrån söksträngar som loggats i eventdata genom olika metoder som i sin tur bildar synonymböcker som används i framtida sökningar med hjälp av query expansion. För att kunna besvara studiens forskningsfrågor utförs först en kvantitativ analys. Denna analys utförs på data s
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Dai, James Jian 1982. "Visual intelligence for online communities : commonsense image retrieval by query expansion." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/26916.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004.<br>Includes bibliographical references (leaves 65-67).<br>This thesis explores three weaknesses of keyword-based image retrieval through the design and implementation of an actual image retrieval system. The first weakness is the requirement of heavy manual annotation of keywords for images. We investigate this weakness by aggregating the annotations of an entire community of users to alleviate the annotation requirements on the individual user. The second weakne
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Cui, Jun. "Query Expansion Research and Application in Search Engine Based on Concepts Lattice." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5762.

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Formal concept analysis is increasingly applied to query expansion and data mining problems. In this paper I analyze and compare the current concept lattice construction algorithm, and choose iPred and Border algorithms to adapt for query expansion. After I adapt two concept lattice construction algorithms, I apply these four algorithms on one query expansion prototype system. The calculation time for four algorithms are recorded and analyzed. The result of adapted algorithms is good. Moreover I find the efficiency of concept lattice construction is not consistent with complex analysis result.
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Ward, Erik. "Tweet Collect: short text message collection using automatic query expansion and classification." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-194961.

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The growing number of twitter users create large amounts of messages that contain valuable information for market research. These messages, called tweets, which are short, contain twitter-specific writing styles and are often idiosyncratic give rise to a vocabulary mismatch between typically chosen keywords for tweet collection and words used to describe television shows. A method is presented  that uses a new form of query expansion that generates pairs of search terms and takes into consideration the language usage of twitter to access user data that would otherwise be missed. Supervised cla
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Li, Zhihan. "Improvement to Chinese information retrieval by incorporating word segmentation and query expansion." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/30422/1/Zhihan_Li_Thesis.pdf.

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The increasing diversity of the Internet has created a vast number of multilingual resources on the Web. A huge number of these documents are written in various languages other than English. Consequently, the demand for searching in non-English languages is growing exponentially. It is desirable that a search engine can search for information over collections of documents in other languages. This research investigates the techniques for developing high-quality Chinese information retrieval systems. A distinctive feature of Chinese text is that a Chinese document is a sequence of Chinese charac
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Johansson, Emma, and Birgitta Jonsson. "Query expansion med hjälp av en elektronisk tesaurus i en bibliografisk online-databas." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20957.

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In this Masters thesis we investigate query expansion using an electronic thesaurus. We formed 30 topics from the library and information science field. For each topic three searches were made in the bibliographic database LISA Library and Information Science Abstracts via CSA Cambridge Scientific Abstracts. LISA has an electronic thesaurus attached. We used this thesaurus to form baseline queries, baseline queries expanded with synonyms, and baseline queries expanded with both synonyms and related terms. The terms used in the baseline queries were the terms preferred by the thesaurus the &quo
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Wang, Xinkai. "Chinese-English cross-lingual information retrieval in biomedicine using ontology-based query expansion." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/chineseenglish-crosslingual-information-retrieval-in-biomedicine-using-ontologybased-query-expansion(1b7443d3-3baf-402b-83bb-f45e78876404).html.

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In this thesis, we propose a new approach to Chinese-English Biomedical cross-lingual information retrieval (CLIR) using query expansion based on the eCMeSH Tree, a Chinese-English ontology extended from the Chinese Medical Subject Headings (CMeSH) Tree. The CMeSH Tree is not designed for information retrieval (IR), since it only includes heading terms and has no term weighting scheme for these terms. Therefore, we design an algorithm, which employs a rule-based parsing technique combined with the C-value term extraction algorithm and a filtering technique based on mutual information, to extra
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Ermakova, Liana. "Short text contextualization in information retrieval : application to tweet contextualization and automatic query expansion." Thesis, Toulouse 2, 2016. http://www.theses.fr/2016TOU20023/document.

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La communication efficace a tendance à suivre la loi du moindre effort. Selon ce principe, en utilisant une langue donnée les interlocuteurs ne veulent pas travailler plus que nécessaire pour être compris. Ce fait mène à la compression extrême de textes surtout dans la communication électronique, comme dans les microblogues, SMS, ou les requêtes dans les moteurs de recherche. Cependant souvent ces textes ne sont pas auto-suffisants car pour les comprendre, il est nécessaire d’avoir des connaissances sur la terminologie, les entités nommées ou les faits liés. Ainsi, la tâche principale de la re
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Zhu, Weizhong Allen Robert B. "Text clustering and active learning using a LSI subspace signature model and query expansion /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3077.

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Nwesri, Abdusalam F. Ahmad, and nwesri@yahoo com. "Effective retrieval techniques for Arabic text." RMIT University. Computer Science and IT, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20081204.163422.

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Arabic is a major international language, spoken in more than 23 countries, and the lingua franca of the Islamic world. The number of Arabic-speaking Internet users has grown over nine-fold in the Middle East between the year 2000 and 2007, yet research in Arabic Information Retrieval (AIR) has not advanced as in other languages such as English. In this thesis, we explore techniques that improve the performance of AIR systems. Stemming is considered one of the most important factors to improve retrieval effectiveness of AIR systems. Most current stemmers remove affixes without
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Lundmark, Sofia. "Automatisk query expansion : en komparativ studie av olika strategier för termklustring baserade på lokal analys." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16688.

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Automatic query expansion has long been studied in information retrieval research as a technique that deals with the fundamental issue of word mismatch between query and document. The purpose of this thesis is to compare the retrieval effectiveness of different strategies for automatic query expansion. The strategies are based on local analysis of the corpus and use statistical information from the local document set to extract terms that suppose to adapt themselves to each individual search and therefore appear to be searchonyms to the index terms. The strategies compared are: association
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Bettio, Raphael Winckler de. "Inter-relaão das técnicas Term Extration e Query Expansion aplicadas na recuperação de documentos textuais." Florianópolis, SC, 2007. http://repositorio.ufsc.br/xmlui/handle/123456789/90753.

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Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-graduação em Engenharia e Gestão do Conhecimento<br>Made available in DSpace on 2012-10-23T14:47:37Z (GMT). No. of bitstreams: 1 246508.pdf: 642498 bytes, checksum: 8cdf470f4a300ff9badf3d49f0a8247b (MD5)<br>Conforme Sighal (2006) as pessoas reconhecem a importância do armazenamento e busca da informação e, com o advento dos computadores, tornou-se possível o armazenamento de grandes quantidades dela em bases de dados. Em conseqüência, catalogar a informação destas bases tornou-se imprescindível. Ness
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Lyall-Wilson, Jennifer Rae. "Automatic Concept-Based Query Expansion Using Term Relational Pathways Built from a Collection-Specific Association Thesaurus." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/306773.

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The dissertation research explores an approach to automatic concept-based query expansion to improve search engine performance. It uses a network-based approach for identifying the concept represented by the user's query and is founded on the idea that a collection-specific association thesaurus can be used to create a reasonable representation of all the concepts within the document collection as well as the relationships these concepts have to one another. Because the representation is generated using data from the association thesaurus, a mapping will exist between the representation of th
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Shiri, Ali Asghar. "End-user interaction with thesaurus-enhanced search interfaces : an evaluation of search term selection for query expansion." Thesis, University of Strathclyde, 2003. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21521.

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A major challenge faced by end-users during the information search and retrieval process is the selection of search terms for query formulation and expansion. Thesauri are recognised as one source of search terms with the potential to assist users in the process of term selection. Research in search term selection, query expansion and interface evaluation has stressed the importance of providing end-users with terminological assistance. As the number of thesauri attached to information retrieval systems has grown, a range of interface facilities and features have been developed to aid users in
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Carstens, Carola [Verfasser], and Christa [Akademischer Betreuer] Womser-Hacker. "Ontology Based Query Expansion - Retrieval Support for the Domain of Educational Research / Carola Carstens. Betreuer: Christa Womser-Hacker." Hildesheim : Universitätsbibliothek Hildesheim, 2012. http://d-nb.info/1023809400/34.

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Johansson, Henrik. "Using clickstream data as implicit feedback in information retrieval systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233870.

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This Master's thesis project aims to investigate if Wikipedia's clickstream data can be used to improve the retrieval performance of information retrieval systems. The project is conducted under the assumption that a traversal between two article connects the two articles in regards to content. To extract useful terms out of the clickstream data, it needed to be structured so that it given a Wikipedia article it is possible to find all of the in-going or out-going article traversals.The project settled on using the clickstream data in an automatic query expansion approach.Two expansion methods
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Volpe, Isabel Cristina. "Cell assemblies para expansão de consultas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/32858.

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Uma das principais tarefas de Recuperação de Informações é encontrar documentos que sejam relevantes a uma consulta. Esta tarefa é difícil porque, em muitos casos os termos de busca escolhidos pelo usuário são diferentes dos termos utilizados pelos autores dos documentos. Ao longo dos anos, várias abordagens foram propostas para lidar com este problema. Uma das técnicas mais utilizadas, com o objetivo de expandir o número de documentos relevantes recuperados é a Expansão de Consultas, que consiste em expandir a consulta com a adição de termos relacionados. Este trabalho propõe um método que ut
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Mahendiran, Aravindan. "Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25430.

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Twitter has become a popular data source in the recent decade and garnered a significant amount of attention as a surrogate data source for many important forecasting problems. Strong correlations have been observed between Twitter indicators and real-world trends spanning elections, stock markets, book sales, and flu outbreaks. A key ingredient to all methods that use Twitter for forecasting is to agree on a domain-specific vocabulary to track the pertinent tweets, which is typically provided by subject matter experts (SMEs). The language used in Twitter drastically differs from other forms o
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Janaite, Neto Jorge [UNESP]. "Recuperação de informação baseada em ontologia: uma proposta utilizando o modelo vetorial." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/154340.

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Bouchoucha, Arbi. "Diversified query expansion." Thèse, 2015. http://hdl.handle.net/1866/12335.

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La diversification des résultats de recherche (DRR) vise à sélectionner divers documents à partir des résultats de recherche afin de couvrir autant d’intentions que possible. Dans les approches existantes, on suppose que les résultats initiaux sont suffisamment diversifiés et couvrent bien les aspects de la requête. Or, on observe souvent que les résultats initiaux n’arrivent pas à couvrir certains aspects. Dans cette thèse, nous proposons une nouvelle approche de DRR qui consiste à diversifier l’expansion de requête (DER) afin d’avoir une meilleure couverture des aspects. Les termes d’expans
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Tai, Chia-Hung, and 戴嘉宏. "Fuzzy Cluster-Based Query Expansion." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/41760976903310141825.

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碩士<br>國立中山大學<br>資訊管理學系研究所<br>92<br>Advances in information and network technologies have fostered the creation and availability of a vast amount of online information, typically in the form of text documents. Information retrieval (IR) pertains to determining the relevance between a user query and documents in the target collection, then returning those documents that are likely to satisfy the user’s information needs. One challenging issue in IR is word mismatch, which occurs when concepts can be described by different words in the user queries and/or documents. Query expansion is a promising
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Lin, Tien-Chien, and 林典鍵. "Query Expansion via Wikipedia Link." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/18697675479617353053.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>96<br>Query expansion is a well-known technique to increase recall value. Previous works show that good query expansion can also increase top N precision. Since users usually browse top N search results first, the precision of top N search result is very important. In this paper, we use the anchor texts in Wikipedia as a resource to expand the original query. Query term in Wikipedia will be expanded with the anchor texts in the Wikipedia page. We conduct experiments on TREC data disk 4 and 5 and compare with Okapi BM25. The experiment results show improvement on mea
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Huang, Chun-Neng, and 黃群能. "Cluster-based Query Expansion Technique." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/64988777413472635153.

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碩士<br>國立中山大學<br>資訊管理學系研究所<br>91<br>As advances in information and networking technologies, huge amount of information typically in the form of text documents are available online. To facilitate efficient and effective access to documents relevant to users’ information needs, information retrieval systems have been imposed a more significant role than ever. One challenging issue in information retrieval is word mismatch that refers to the phenomenon that concepts may be described by different words in user queries and/or documents. The word mismatch problem, if not appropriately addressed, woul
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Lin, Hsi-Ching, and 林錫慶. "New Methods for Query Expansion and Query Reweighting for Document Retrieval." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/84539972972055978983.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>93<br>In document retrieval systems, query terms play an important role which can affect the performance of document retrieval systems. The performance of document retrieval systems can be improved by using query terms expansion techniques and query terms reweighting techniques. In this thesis, we present two new methods for query terms expansion and query terms rewieghting. The first method chooses additional query terms for query expansion according to the degrees of importance of relevant terms and use fuzzy rules to infer their weights for document retrieval. The
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Seher, Indra, University of Western Sydney, College of Health and Science, and School of Computing and Mathematics. "A personalised query expansion approach using context." 2007. http://handle.uws.edu.au:8081/1959.7/33427.

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Users of the Web usually use search engines to find answers to a variety of questions. Although search engines can rapidly process a large number of Web documents, in many cases, the answers returned by search engines are not relevant to the user’s information need, although they do contain the same keywords as the query. This is because the Web contains information sources created by numerous authors independently, and the authors’ vocabularies vary greatly. Furthermore, most words in natural languages have inherent ambiguity. This vocabulary mismatch between user queries and Web sources is o
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Chiang, Shun-hsien, and 江舜絃. "A Knowledge-based Chinese Query Expansion System." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/94df24.

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碩士<br>國立中央大學<br>資訊管理研究所<br>97<br>Search engine has become an essential tool in the era of the information explosion, hence the topic of helping users to filter an excess of information and take personal implicit searching intentions into consideration in order to reach personalized searching ranking has always been important. Knowledge ontology was used to depict user’s preference and a Chinese keyword recommendation system was proposed to accomplish a Chinese Query Expansion. Analyzing the site maps of the whole user’s past browsing via web crawler, constructing a wider range of personalized
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Cai, Zih-Long, and 蔡子龍. "Interactive Web Query Expansion Using Concept Hierarchy." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/36938834615691881275.

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碩士<br>國立高雄第一科技大學<br>資訊管理所<br>97<br>Traditional data retrieval processes usually use the Boolean operation to filter out unnecessary data. Such approach only produces a ‘0’ or ‘1’ evaluation result, where ‘0’ expresses both terms are different, and ‘1’ means they are equivalent. However, the Boolean operation method is not practical enough, as there may be some fuzzy space laid between such two-type results. However how to analyze the fuzzy space is a Latent Semantic Analysis topic. Our objective in this thesis is to improve the crisp analysis induced by the Boolean operation method. We conduct
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Chang, Jed Kao-Tung, and 張果通. "Query expansion based on attributes of objects." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/71357177671969472146.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>87<br>The thesis proposes a query expansion mechanism on the attributes of the objects in a digital library. The query expansion mechanism involves matching the desired attributes specified in the user's query and the attributes of the objects. Objects with matched attributes are then forwarded to the search utilities. The proposed query expansion mechanism effectively closes up the gap between the user's concept and terms presented in the digital library. As a result, the precision and recall rates of the
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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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Huang, Szu-Jui, and 黃思瑞. "Automatic Query Expansion based on Non-Ramdomness Model." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/70455312256143540096.

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碩士<br>國立中央大學<br>資訊管理研究所<br>95<br>Automatic query expansion addresses the problem of word mismatching that the words provided by the users in the query are not consistent with the words used by the authors. The problem of word mismatching can result in poor retrieval effectiveness. Many techniques of automatic query expansion have been developed and proved to improve retrieval effectiveness. We apply the concept of the non-randomness of probabilistic model to conceive a method for automatic query expansion. Top-ranked documents that are retrieved in the initial retrieval are used as the sour
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