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Tesis sobre el tema "Search engines"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Blaauw, Pieter. "Search engine poisoning and its prevalence in modern search engines." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1002037.

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The prevalence of Search Engine Poisoning in trending topics and popular search terms on the web within search engines is investigated. Search Engine Poisoning is the act of manipulating search engines in order to display search results from websites infected with malware. Research done between February and August 2012, using both manual and automated techniques, shows us how easily the criminal element manages to insert malicious content into web pages related to popular search terms within search engines. In order to provide the reader with a clear overview and understanding of the motives a

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2

Shen, Yipeng. "Meta-search and distributed search systems /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?COMP%202002%20SHEN.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 138-144). Also available in electronic version. Access restricted to campus users.

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3

Natvig, Ola. "Compression in XML search engines." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9119.

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<p>The structure of XML documents can be used by search engines to answer structured queries or to provide better relevancy. Several index structures exist for search in XML data. This study focuses on inverted lists with dictionary coded path types and dewey coded path instances. The dewey coded path index is large, but could be compressed. This study examines query processing with indexes encoded using well known integer coding methods VByte and PFor(delta) and methods tailored for the dewey index. Intersection queries and structural queries are evaluated. In addition to standard document

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4

Mtshontshi, Lindiwe. "Evaluation and comparison of search engines." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49955.

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Thesis (MPhil)--Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: A growing body of studies is developing approaches to evaluate human interaction with Web search engines. Measuring the information retrieval effectiveness of World Wide Web search engines is costly because of the human relevance judgements involved. However, both for business enterprises and people it is important to know the most effective Web search engine, since such search engines help their users find a higher number of relevant Web pages with less effort. Furthermore, this information can be used for several pract

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5

Zheng, Li. "Towards Next Generation Vertical Search Engines." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1517.

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As the Web evolves unexpectedly fast, information grows explosively. Useful resources become more and more difficult to find because of their dynamic and unstructured characteristics. A vertical search engine is designed and implemented towards a specific domain. Instead of processing the giant volume of miscellaneous information distributed in the Web, a vertical search engine targets at identifying relevant information in specific domains or topics and eventually provides users with up-to-date information, highly focused insights and actionable knowledge representation. As the mobile device

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6

Mendoza, Rocha Marcelo Gabriel. "Query log mining in search engines." Tesis, Universidad de Chile, 2007. http://www.repositorio.uchile.cl/handle/2250/102877.

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Doctor en Ciencias, Mención Computación<br>La Web es un gran espacio de información donde muchos recursos como documentos, imágenes u otros contenidos multimediales pueden ser accesados. En este contexto, varias tecnologías de la información han sido desarrolladas para ayudar a los usuarios a satisfacer sus necesidades de búsqueda en la Web, y las más usadas de estas son los motores de búsqueda. Los motores de búsqueda permiten a los usuarios encontrar recursos formulando consultas y revisando una lista de respuestas. Uno de los principales desafíos para la comunidad de la Web es diseñar moto

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7

Zamurenko. "WEBSITE PROMOTION TECHNIQUES IN SEARCH ENGINES." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33932.

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8

SHARMA, AMARENDRA KUMAR. "ESSAYS IN INTERNET ECONOMICS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1028832870.

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9

Henriksson, Adam. "Alternative Search : From efficiency to experience." Thesis, Umeå universitet, Institutionen Designhögskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-97836.

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Search engines of today are focusing on efficiently and accurately generating search results.Yet, there is much to be explored in the way people interact with the applications and relate to the content. Individuals are commonly unique, with complex preferences, motives and expectations. Not only is it important to be sensitive to these differences, but to accommodate the extremes. Enhancing a search engine does not only rely on technological development, but to explore potential user experiences in broader perspectives - which not only gratifies the needs for information, but supports a divers

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10

Скиданенко, Максим Сергійович, Максим Сергеевич Скиданенко, Maksym Serhiiovych Skydanenko, and A. S. Skidanenko. "Visual search engines as a search tool in the learning process." Thesis, Сумський державний університет, 2012. http://essuir.sumdu.edu.ua/handle/123456789/29424.

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The main objective of the University is the promotion of successful professionals who have practical skills, can predict, model, process information, and integrate the knowledge obtained in a higher educational establishment. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/29424

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11

Zhang, Lu Jansen Bernard J. "A branding model for web search engines." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-3996/index.html.

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12

Erola, Cañellas Arnau. "Contributions to privacy in web search engines." Doctoral thesis, Universitat Rovira i Virgili, 2013. http://hdl.handle.net/10803/130934.

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Els motors de cerca d’Internet recullen i emmagatzemen informació sobre els seus usuaris per tal d’oferir-los millors serveis. A canvi de rebre un servei personalitzat, els usuaris perden el control de les seves pròpies dades. Els registres de cerca poden revelar informació sensible de l’usuari, o fins i tot revelar la seva identitat. En aquesta tesis tractem com limitar aquests problemes de privadesa mentre mantenim suficient informació a les dades. La primera part d’aquesta tesis tracta els mètodes per prevenir la recollida d’informació per part dels motores de cerca. Ja que aquesta inform

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13

Kraft, Reiner. "Cost-effective creation of specialized search engines /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2005. http://uclibs.org/PID/11984.

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14

Risvik, Knut Magne. "Scaling Internet Search Engines - Methods and Analysis." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1683.

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<p>This thesis focuses on methods and analysis for building scalable Internet Search Engines. In this work, we have developed a search kernel, an architecture framework and applications that are being used in industrial and commercial products. Furthermore, we present both analysis and design of key elements. </p><p>Essential to building a large-scale search engine is to understand the dynamics of the content in which we are searching. For the challenging case of searching the web, there are multiple dimensions of dynamics that should ideally be handled. In this thesis we start by examining so

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15

Alhalabi, Wadee Saleh. "Induction-Based Approach to Personalized Search Engines." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_dissertations/106.

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In a document retrieval system where data is stored and compared with a specific query and then compared with other documents, we need to find the document that is most similar to the query. The most similar document will have the weight higher than other documents. When more than one document are proposed to the user, these documents have to be sorted according to their weights. Once the result is presented to the user by a recommender system, the user may check any document of interest. If there are two different documents' lists, as two proposed results presented by different recommender sy

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16

Mahalingam, Gayathri. "Natural language access to Internet search engines." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq30514.pdf.

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17

Jonassen, Simon. "Efficient Query Processing in Distributed Search Engines." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20206.

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Web search engines have to deal with a rapidly increasing amount of information, high query loads and tight performance constraints. The success of a search engine depends on the speed with which it answers queries (efficiency) and the quality of its answers (effectiveness). These two metrics have a large impact on the operational costs of the search engine and the overall user satisfaction, which determine the revenue of the search engine. In this context, any improvement in query processing efficiency can reduce the operational costs and improve user satisfaction, hence improve the overall b

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18

Chakravarty, Rupak, and Sukhwinder Randhawa. "ACADEMIC SEARCH ENGINES: LIBRARIAN'S FRIEND,RESEARCHER'S DELIGHT." INFLIBNET Centre, 2006. http://hdl.handle.net/10150/105232.

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Search engines are about excitement, optimism, hope and enrichment. Search engines are also about despair and disappointment. A researcher while using search engines for resource discovery might have experienced one or the other sentiments. One may say that user satisfaction depends much upon the search strategies deployed by the user. But at the same time its also depends upon the quality of search engine used for information retrieval. Today, there are many search engines used for resource discovery. They display the results of the searches made in readily-comprehensible manner with lots of

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19

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

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

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20

Petit, Albin. "Introducing privacy in current web search engines." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI016/document.

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Au cours des dernières années les progrès technologiques permettant de collecter, stocker et traiter d'importantes quantités de données pour un faible coût, ont soulevés de sérieux problèmes concernant la vie privée. La protection de la vie privée concerne de nombreux domaines, en particulier les sites internet fréquemment utilisés comme les moteurs de recherche (ex. : Google, Bing, Yahoo!). Ces services permettent aux utilisateurs de retrouver efficacement du contenu sur Internet en exploitant leurs données personnelles. Dans ce contexte, développer des solutions pour permettre aux utilisateu

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21

Kalinov, Pavel. "Intelligent Web Exploration." Thesis, Griffith University, 2012. http://hdl.handle.net/10072/365635.

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The hyperlinked part of the internet known as "the Web" arose without much planning for a future of millions of publishers and countless pieces of online content. It has no in-built mechanism to find anything, so tools external to it were introduced: initially web directories and then search engines. Search engines are based on machine learning and have been extremely successful. However, they have some inherent limitations and cannot, by design, address some needs: they serve the "information locating" need only and not "information discovery". Search engine users have learned to accept them

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22

Bjørklund, Truls A. "Column Stores versus Search Engines and Applications to Search in Social Networks." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14782.

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Search engines and database systems both play important roles as we store and organize ever increasing amounts of information and still require the information to be easily accessible. Research on these two types of systems has traditionally been partitioned into two fields, information retrieval and databases, and the integration of these two fields has been a popular research topic. Rather than attempting to integrate the two fields, this thesis begins with a comparison of the technical similarities between search engines and a specific type of database system often used in decision support

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23

Martin, Carlstedt. "Using NLP and context for improved search result in specialized search engines." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35181.

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24

Öfverman, Jakob. "Information Presentation in Search Engines on Mobile Devices." Thesis, Linnaeus University, School of Computer Science, Physics and Mathematics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-7945.

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<p>This thesis discusses the possibilities to visualise the presentation layer of a search engine on a mobile device in an alternative way. Previous work in the area has shown that the use of text-based-lists can be problematic when accessed on a device with a limited display. In the scope of the thesis and in order to tackle the current problems when displaying the results a literature review was carried out. The findings of the review formed the basis for a requirement definition on which a mock-up was developed. The mock-up was then evaluated and tested during a usability test where a numbe

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25

Økland, Vegard. "Utilizing linguistic analysis in multiple source search engines." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14468.

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Modern search engines have several data sources available to users, e.g. Newssearch, Image search and Video search. When a user enters a query in a searchengine, it is up to the user to choose a different source than the normal web search.On average, a user will only consider the first few occurrences in a search result anddo so in a few seconds. It would therefore be beneficial to the user experienceif the user did not have to limit the sources manually to refine a search.This project will evaluate different machine learning methods to classify relevantsources to a query. The goal of this is

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26

Pinkerton, Brian. "WebCrawler : finding what people want /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/6890.

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27

Zhao, Hongkun. "Automatic wrapper generation for the extraction of search result records from search engines." Diss., Online access via UMI:, 2007.

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28

Bian, Jiang. "Contextualized web search: query-dependent ranking and social media search." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37246.

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Due to the information explosion on the Internet, effective information search techniques are required to retrieve the desired information from the Web. Based on much analysis on users' search intention and the variant forms of Web content, we find that both the query and the indexed web content are often associated with various context information, which can provide much essential information to indicate the ranking relevance in Web search. This dissertation seeks to develop new search algorithms and techniques by taking advantage of rich context information to improve search quality and cons

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29

King, John D. "Search engine content analysis." Queensland University of Technology, 2008. http://eprints.qut.edu.au/26241/.

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Search engines have forever changed the way people access and discover knowledge, allowing information about almost any subject to be quickly and easily retrieved within seconds. As increasingly more material becomes available electronically the influence of search engines on our lives will continue to grow. This presents the problem of how to find what information is contained in each search engine, what bias a search engine may have, and how to select the best search engine for a particular information need. This research introduces a new method, search engine content analysis, in order to s

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King, John Douglas. "Search engine content analysis." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/26241/1/John_King_Thesis.pdf.

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Search engines have forever changed the way people access and discover knowledge, allowing information about almost any subject to be quickly and easily retrieved within seconds. As increasingly more material becomes available electronically the influence of search engines on our lives will continue to grow. This presents the problem of how to find what information is contained in each search engine, what bias a search engine may have, and how to select the best search engine for a particular information need. This research introduces a new method, search engine content analysis, in order to s

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31

Selberg, Erik Warren. "Towards comprehensive Web search /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6873.

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Chen, Yan. "Enhanced Web Search Engines with Query-Concept Bipartite Graphs." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/cs_diss/54.

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With rapid growth of information on the Web, Web search engines have gained great momentum for exploiting valuable Web resources. Although keywords-based Web search engines provide relevant search results in response to users’ queries, future enhancement is still needed. Three important issues include (1) search results can be diverse because ambiguous keywords in queries can be interpreted to different meanings; (2) indentifying keywords in long queries is difficult for search engines; and (3) generating query-specific Web page summaries is desirable for Web search results’ previews. Based on

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33

Martins, Flávio Nuno Fernandes. "Improving search engines with open Web-based SKOS vocabularies." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8745.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>The volume of digital information is increasingly larger and even though organiza-tions are making more of this information available, without the proper tools users have great difficulties in retrieving documents about subjects of interest. Good infor-mation retrieval mechanisms are crucial for answering user information needs. Nowadays, search engines are unavoidable - they are an essential feature in docu-ment management systems. However, achieving good relevancy is a difficult problem particularly when dealing with s

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Westerdahl, Simon, and Larsson Fredrik Lemón. "Optimization for search engines based on external revision database." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21000.

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The amount of data is continually growing and the ability to efficiently search through vast amounts of data is almost always sought after. To efficiently find data in a set there exist many technologies and methods but all of them cost in the form of resources like cpu-cycles, memory and storage. In this study a search engine (SE) is optimized using several methods and techniques. Thesis looks into how to optimize a SE that is based on an external revision database.The optimized implementation is compared to a non-optimized implementation when executing a query. An artificial neural network (

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Saunders, Tana. "Evaluation of Internet search tools instrument design." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49957.

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Thesis (MPhil)--Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: This study investigated Internet search tools / engines to identify desirable features that can be used as a benchmark or standard to evaluate web search engines. In the past, the Internet was thought of as a big spider's web, ultimately connecting all the bits of information. It has now become clear that this is not the case, and that the bow tie analogy is more accurate. This analogy suggests that there is a central core of well-connected pages, with links IN and OUT to other pages, tendrils and orphan pages. This emph

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Neethling, Riaan. "Search engine optimisation or paid placement systems-user preference /." Thesis, [S.l. : s.n.], 2007. http://dk.cput.ac.za/cgi/viewcontent.cgi?article=1076&context=td_cput.

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Kritzinger, Wouter Thomas. "Development of a search engine marketing model using the application of a dual strategy." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2603.

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Thesis (DTech (Informatics))--Cape Peninsula University of Technology, 2017.<br>Any e-commerce venture using a website as main shop-front should invest in marketing their website. Previous empirical evidence shows that most Search Engine Marketing (SEM) spending (approximately 82%) is allocated to Pay Per Click (PPC) campaigns while only 12% was spent on Search Engine Optimisation (SEO). The remaining 6% of the total spending was allocated to other SEM strategies. No empirical work was found on how marketing expenses compare when used solely for either the one or the other of the two mai

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Олефіренко, Олег Михайлович, Олег Михайлович Олефиренко, Oleh Mykhailovych Olefirenko, Юлія Андріївна Сірік, Юлия Андреевна Сирик та Yuliia Andriivna Sirik. "Використання пошукової оптимізації сайту як засіб маркетингових комунікацій". Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/12295.

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Costa, Miguel. "SIDRA: a Flexible Web Search System." Master's thesis, Department of Informatics, University of Lisbon, 2004. http://hdl.handle.net/10451/13914.

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Sidra is a new indexing, searching and ranking system for Web contents. It has a flexible, parallel, distributed and scalable architecture. Sidra maintains several data structures that provide multiple access methods to different data dimensions, giving it the capability to select results reflecting search contexts. Its design addresses current challenges of Web search engines: high performance, short searching and indexing times, good quality of results, scalability and high service availability

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Hicks, Janette M. "Search algorithms for discovery of Web services." Diss., Online access via UMI:, 2005. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1425747.

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Garcia, Steven, and steven garcia@student rmit edu au. "Search Engine Optimisation Using Past Queries." RMIT University. Computer Science and Information Technology, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080501.093229.

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World Wide Web search engines process millions of queries per day from users all over the world. Efficient query evaluation is achieved through the use of an inverted index, where, for each word in the collection the index maintains a list of the documents in which the word occurs. Query processing may also require access to document specific statistics, such as document length; access to word statistics, such as the number of unique documents in which a word occurs; and collection specific statistics, such as the number of documents in the collection. The index maintains individ

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Adya, Kaushik. "An implicit-feedback based ranking methodology for Web search engines /." Available to subscribers only, 2005. http://proquest.umi.com/pqdweb?did=1079672381&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Asghariaghamashhadi, Mohammad Bagher <1988&gt. "Using of Trademarks in Keyword Advertising in Web Search Engines." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8298/1/FINAL%20VERSION%20OF%20THESIS.pdf.

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Use of Trademarks in keyword advertising has been one of the most debatable issues in trademark law for several years. This entirely new way of using Trademarks over the Internet has provoked a discussion concerning the core concepts of Trademark law. Harmonized EU trademark law proved to be ambiguous on whether it amounted to trademark infringement or not. This ambivalence was also exhibited by the case law of EU Member States. European keyword advertisers simply could not tell which use of a competitor‘s trademark was lawful. In recent years CJEU has continuously expanded the scope and reach

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Deng, Lin. "Mining user preference using SPY voting for search engine personalization /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20DENG.

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李莉華 and Lei-wah Lee. "On improving the relevancy ranking algorithm in web search engine." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222973.

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Lee, Lei-wah. "On improving the relevancy ranking algorithm in web search engine /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21607448.

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47

Young, Joel D. "Exploiting the structure of the web for spidering /." View online version; access limited to Brown University users, 2005. http://wwwlib.umi.com/dissertations/fullcit/3174706.

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Tan, Qingzhao. "The development of an effective co-training framework for adapting metasearch engine rankers /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20TAN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 65-70). Also available in electronic version. Access restricted to campus users.

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49

Presgrave, Trevor A. "Collaborative Search Engines: Toward a Meta-Design for Improving the User Experience." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427799661.

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50

Gossen, Tatiana [Verfasser], and Andreas [Akademischer Betreuer] Nürnberger. "Targeted search engines for children : search user interfaces and information-seeking behaviour / Tatiana Gossen. Betreuer: Andreas Nürnberger." Magdeburg : Universitätsbibliothek, 2015. http://d-nb.info/1073584372/34.

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