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Tesi sul tema "Search engine"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 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

Fahlström, Kamilla, and Caroline Jensen. "Search Engine Marketing in SMEs : The motivations behind using search engine marketing." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21116.

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Abstract Title: Search Engine Marketing in SMEs Level: Final assignment for Bachelor Degree in Business Administration Authors: Kamilla Fahlström & Caroline Jensen Supervisor: Jens Eklinder Frick Date: 2016 January Purpose: The purpose of this study is to use Expectancy theory to describe and analyze small company owners’ motivations for their usage of Search Engine Marketing, in terms of their perceived Valence, Expectancy and Instrumentality. Method: To research the aim of this study a qualitative research approach was used. The empirical data was compiled through ten semi-structured i

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3

Hurlock, Jonathan. "Twitter search : building a useful search engine." Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa43037.

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Millions of digital communications are posted over social media every day. Whilst some state that a large proportion of these posts are considered to be babble, we know that some of these posts actually contain useful information. In this thesis we specifically look at how we can identify reasons as to what makes some of these communications useful or not useful to someone searching for information over social media. In particular we look at what makes messages (tweets) from the social network Twitter useful or not useful users performing search over a corpus of tweets. We identify 16 features

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4

Narayan, Nitesh. "Advanced Intranet Search Engine." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9408.

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<p>Information retrieval has been a prevasive part of human society since its existence.With the advent of internet and World wide Web it became an extensive area of researchand major foucs, which lead to development of various search engines to locate the de-sired information, mostly for globally connected computer networks viz. internet.Butthere is another major part of computer network viz. intranet, which has not seen muchof advancement in information retrieval approaches, in spite of being a major source ofinformation within a large number of organizations.Most common technique for intran

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5

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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6

Edlund, Joakim. "Cognitive Search Engine Optimization." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281882.

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The use of search engines is a common way to navigate through information today. The field of information retrieval is the field of finding documents in large unstructured collections. Within this field there are widely researched baseline solutions to solve this problem. There are also more advanced techniques (often based on machine learning) to improve relevant results further. However, picking the right algorithm or technique when implementing a search engine is no trivial task and deciding which performs better might seem hard. This project takes a commonly used baseline search engine imp

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7

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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8

Khan, Saiful. "Visualization assisted enterprise search engine." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:d1790b99-c30e-487b-b87e-98d4e3a8b2bb.

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In most organizations, the number of files increases at a rate similar to the growth of data. As one of the big data challenges, many enterprises encounter a common difficulty in a routine operation, that is, finding files in a large-scale file system typically distributed across several physical sites and accessed by thousands of users. This thesis addresses a central question: whether or not visualization techniques can be used to improve the effectiveness and efficiency in performing numerous file searching operations at an industrial scale. All work conducted in this research was done in p

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9

Slavík, Michal. "Search Engine Marketing neziskových organizací." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-124602.

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The goal of this thesis is to design methodics for Search Engine Marketing (SEM) in nonprofit organizations (NPOs) which takes advantage of their specifics. Other goals include practical evaluation of the methodics and analysis of the current state of NPOs websites. Determined goals are reached by merging theoretical background from relevant literature with the knowledge gained during field research and with author's experience. Designed methodics is built on the following hypotheses: NPOs are able to negotiate better trade terms than trading companies, NPOs can delegate their volunteers to do

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10

FISTER, JUSTIN M. "CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597.

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11

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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12

Aghajani, Nooshin. "Semoogle - An Ontology Based Search Engine." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19086.

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In this thesis, we present a prototype for search engine to show how such a semantic search application based on ontology techniques contributes to save time for user, and improve the quality of relevant search results compared to a traditional search engine. This system is built as a query improvement module, which uses ontology and sorts the results search based on four predefined categories. The first and important part of the implementation of search engine prototype is to apply ontology to define the meaning and the relations between the queries in default domain of the study. Next, categ

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13

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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14

Chen, Xue. "An Internet multiple-encoding search engine." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0033/MQ65479.pdf.

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15

Wang, Edward M. 1976. "Supreme Court audio file search engine." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17997.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (leaves 73-74).<br>Search engines have evolved from simple text indexing to indexing other forms of media, such as audio and video. I have designed and implemented a web-based system that permits people to search the transcripts of selected Supreme Court cases, and retrieve audio file clips relevant to the search terms. The system development compared two implementation approaches, one based on transcript aligning technologies developed by

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16

Chung, Jack V. (Jack Vinh) 1978. "Search engine for online physiologic databases." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86654.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.<br>Includes bibliographical references (leaf 40).<br>by Jack V. Chung.<br>M.Eng.and S.B.

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17

Wong, Brian Wai Fung. "Deep-web search engine ranking algorithms." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61246.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-80).<br>The deep web refers to content that is hidden behind HTML forms. The deep web contains a large collection of data that are unreachable by link-based search engines. A study conducted at University of California, Berkeley estimated that the deep web consists of around 91,000 terabytes of data, whereas the surface web is only about 167 terabytes. To access this content, one must submit v

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18

Malladi, Rajavardhan. "Recipe search engine using Yummly API." Kansas State University, 2016. http://hdl.handle.net/2097/32661.

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Master of Science<br>Department of Computing and Information Sciences<br>Daniel A. Andresen<br>In this project I have built a web application "Recipe Search Engine Using Yummly API". This application is central information hub for the kitchen--connecting consumers with recipe ideas, ingredient lists, and cooking instructions. It will serve best for the people who uses digital tools to plan their cooking, these days almost everyone does. The various features available for users in this application are as following. Users can search for their favorite dishes. The search results contain informa

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19

Watson, Veronica. "Basic system configuration in search engine." Xavier University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=xavier1545566567119888.

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20

Na, Jin-Cheon, Christopher S. G. Khoo, and Syin Chan. "A sentiment-based meta search engine." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/106241.

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This study is in the area of sentiment classification: classifying online review documents according to the overall sentiment expressed in them. This paper presents a prototype sentiment-based meta search engine that has been developed to perform sentiment categorization of Web search results. It assists users to quickly focus on recommended or non-recommended information by classifying Web search results into four categories: positive, negative, neutral, and non-review documents. It does this by using an automatic classifier based on a supervised machine learning algorithm, Support Vector Mac

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21

Dennis, Johansson. "Search Engine Optimization and the Long Tail of Web Search." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296388.

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In the subject of search engine optimization, many methods exist and many aspects are important to keep in mind. This thesis studies the relation between keywords and website ranking in Google Search, and how one can create the biggest positive impact. Keywords with smaller search volume are called "long tail" keywords, and they bear the potential to expand visibility of the website to a larger crowd by increasing the rank of the website for the large fraction of keywords that might not be as common on their own, but together make up for a large amount of the total web searches. This thesis wi

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22

Nilsson, Rebecca, and Christa Alanko. "STREAMLINE THE SEARCH ENGINE MARKETING STRATEGY : Generational Driven Search Behavior on Google." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70149.

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The expanded internet usage has resulted in an increased activity at web-based search engines. Companies are therefore devoting a large portion of their online marketing budget on Search Engine Marketing (abbreviated SEM) in order to reach potential online consumers searching for products. SEM comprises Search Engine Advertising (SEA) and Search Engine Optimization (SEO) which are two dissimilar marketing tools companies can invest in to reach the desired customer segments. It is therefore of great interest for companies in different product markets to have knowledge of which SEM strategy to u

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23

Ogbonna, Antoine I. "The Psychology of a Web Search Engine." Youngstown State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1328897147.

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24

Høyum, Øystein. "Redistribution of Documents across Search Engine Clusters." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8967.

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<p>The goal of this master thesis has been to evaluate methods for redistribution of data on search engine clusters. For all of the methods the redistribution is done when the cluster changes size. Redistribution methods that are specifically designed for search engines are not common, so the methods compared in this thesis are based on other distributed settings. This is from among other things distributed database systems, distributed files and continuous media systems. The evaluation of the methods consists of two parts, a theoretical analysis and an implementation and testing of the m

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25

Deolikar, Piyush P. "Lecture Video Search Engine Using Hadoop MapReduce." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10638908.

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<p>With the advent of the Internet and ease of uploading video content over video libraries and social networking sites, the video data availability was increased very rapidly during this decade. Universities are uploading video tutorials in the online courses. Companies like Udemy, coursera, Lynda, etc. made video tutorials available over the Internet. We propose and implement a scalable solution, which helps to find relevant videos with respect to a query provided by the user. Our solution maintains an updated list of the available videos on the web and assigns a rank according to their rele

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26

Aly, Mazen. "Automated Bid Adjustments in Search Engine Advertising." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210651.

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In digital advertising, major search engines allow advertisers to set bid adjustments on their ad campaigns in order to capture the valuation differences that are a function of query dimensions. In this thesis, a model that uses bid adjustments is developed in order to increase the number of conversions and decrease the cost per conversion. A statistical model is used to select campaigns and dimensions that need bid adjustments along with several techniques to determine their values since they can be between -90% and 900%. In addition, an evaluation procedure is developed that uses campaign hi

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Robisch, Katherine A. "Search Engine Optimization: A New Literacy Practice." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1394533925.

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Turchyn, Sergiy. "A Visual Search Engine for Gesture Annotation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1499424165650622.

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Tångring, Anton. "Analysing Search Engine Trends related to Antibiotics." Thesis, Uppsala universitet, Institutionen för informatik och media, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-329105.

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30

Mätäsaho, T. (Timo). "Text search engine for digitized historical book." Master's thesis, University of Oulu, 2015. http://jultika.oulu.fi/Record/nbnfioulu-201505061448.

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Abstract. There’s need to digitalize numerous historical books and texts and make it possible to read them electronically. Also it is often wanted to preserve their original appearance, not just the text itself. For these operations there is a need for systems, which understand the books and text as they are and are able to distinguish the text information from other context. Traditional optical character recognition systems perform well when processing modern printed text, but they might face problems with old handwritten texts. These types of texts need to be analyzed with systems, which can

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31

Chiravirakul, Pawitra. "Search satisfaction : choice overload, variety seeking and serendipity in search engine use." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665389.

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Abstract (sommario):

Users of current web search engines are often presented with a large number of returns after submitting a search term and choosing from the list might lead to them suffering from the effect of “choice overload”, as reported in earlier work. However, these search results are typically presented in an ordered list so as to simplify the search process, which may influence search behaviour and moderate the effect of number of choices. In this thesis, the effects of the number of search returns and their ordering on user behaviour and satisfaction are explored. A mixed methods approach combining mu

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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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Koval, Mariia <1989&gt. "Search Engine Dominance and Quality of Organic Search: Consequences for Online Advertising." Master's Degree Thesis, Università Ca' Foscari Venezia, 2013. http://hdl.handle.net/10579/3192.

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In this dissertation work we study in which way an Internet search engine can lower the quality (score) of the organic links, and how it will affect the probability of the high quality website to get a high position in the organic search results. We investigate the impact of such organic search results manipulation on advertisers’ strategies, search engine’s profits, and consumer welfare. We find that when organic link quality becomes too high, a search engine can face the cannibalisation problem when consumers prefer to click on organic links first and consequently satisfy their needs, rather

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Marshall, Oliver. "Search Engine Optimization and the connection with Knowledge Graphs." Thesis, Högskolan i Gävle, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-35165.

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Aim: The aim of this study is to analyze the usage of Search Engine Optimization and Knowledge Graphs and the connection between them to achieve profitable business visibility and reach. Methods: Following a qualitative method together with an inductive approach, ten marketing professionals were interviewed via an online questionnaire. To conduct this study both primary and secondary data was utilized. Scientific theory together with empirical findings were linked and discussed in the analysis chapter. Findings: This study establishes current Search Engine Optimization utilization by businesse

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Li, Zhongmiao. "A Domain Specific Search Engine WithExplicit Document Relations." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-141654.

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The current web consists of documents that are highly heterogeneous and hard for machines to understand. The SemanticWeb is a progressive movement of the Word Wide Web, aiming at converting the current web of unstructured documents to the web of data. In the Semantic Web, web documents are annotated with metadata using standardized ontology language. These annotated documents are directly processable by machines and it highly improves their usability and usefulness. In Ericsson, similar problems occur. There are massive documents being created with well-defined structures. Though these documen

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Aboulkhasam, Salaheldin Ali. "An intelligent voice-driven intranet search engine (AIVDISE)." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0028/MQ52023.pdf.

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Poignant, Pierre 1975. "Peer-to-peer search engine : the Araignee Project." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/85752.

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Lakshmi, Shriram. "Web-based search engine for Radiology Teaching File." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000559.

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Lallali, Saliha. "A scalable search engine for the Personal Cloud." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLV009.

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Un nouveau moteur de recherche embarqué conçu pour les objets intelligents. Ces dispositifs sont généralement équipés d'extrêmement de faible quantité de RAM et une grande capacité de stockage Flash NANAD. Pour faire face à ces contraintes matérielles contradictoires, les moteurs de recherche classique privilégient soit la scalabilité en insertion ou la scalabilité en requête, et ne peut pas répondre à ces deux exigences en même temps. En outre, très peu de solutions prennent en charge les suppressions de documents et mises à jour dans ce contexte. nous avons introduit trois principes de conce

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Vaziri, Farzad <1986&gt. "Discovering Single-Query Tasks from Search Engine Logs." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/5389.

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When a user uses a search engine to find out some information, for each query that he does, search engine gives some links as result. Search engines provide these results for the user and on the other hand save the log information of each user about queries have done by them. These log information through query mining methods and algorithms are used to extract useful knowledge. In previous works a concept has defined as “task” which is a set of possibly noncontiguous queries which refer to the same need of information. Clustering methods have been used for discovering collective tasks by aggr

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White, Stephanie. "SEARCH ENGINE UTILIZATION ANALYSIS EXPLORING LINKS BETWEEN PERSONALITY TRAITS AND INTERNET SEARCH BEHAVIOR." Thesis, The University of Arizona, 2009. http://hdl.handle.net/10150/193530.

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Xian, Yikun, and Liu Zhang. "Semantic Search with Information Integration." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13832.

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Since the search engine was first released in 1993, the development has never been slow down and various search engines emerged to vied for popularity. However, current traditional search engines like Google and Yahoo! are based on key words which lead to results impreciseness and information redundancy. A new search engine with semantic analysis can be the alternate solution in the future. It is more intelligent and informative, and provides better interaction with users. This thesis discusses the detail on semantic search, explains advantages of semantic search over other key-word-bas

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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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Al-Kamha, Reema. "Grouping Search-Engine Returned Citations for Person-Name Queries." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd472.pdf.

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Movin, Maria. "Spelling Correction in a Music Entity Search Engine by Learning from Historical Search Queries." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229716.

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Query spelling correction is an important component of modern search engines that can help users to express their intent, and thus improve search quality. In this study, we investigated with what accuracy a sequence-to-sequence recurrent neural network (RNN) can recognise and correct misspellings in a music search engine, when the model is trained with old search queries. A sequence-to-sequence RNN was chosen as the model in this study since it has achieved state-of-the-art performance on similar tasks, such as machine translation and speech recognition. The findings from the study imply that

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Li, Chaoyang, and Ke Liu. "Smart Search Engine : A Design and Test of Intelligent Search of News with Classification." Thesis, Högskolan Dalarna, Institutionen för information och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:du-37601.

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Background Google, Bing, and Baidu are the most commonly used search engines in the world. They also have some problems. For example, when searching for Jaguar, most of the search results are cars, not animals. This is the problem of polysemy. Search engines always provide the most popular but not the most correct results. Aim We want to design and implement a search function and explore whether the method of classified news can improve the precision of users searching for news. Method In this research, we collect data by using a web crawler. We use a web crawler to crawl the data of news

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Nardei, Stephanie A. "Search Engine Optimization." 2004. http://hdl.handle.net/10150/106179.

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Hung, Chia-Lien, and 洪佳蓮. "A Study Of The Search Engine Optimization On Search Engine Ranking." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/41853781632152770378.

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碩士<br>逢甲大學<br>經營管理碩士在職專班<br>99<br>According to a survey conducted in 2008 by iProspect, an American search engine company, 68% of search engine users click on the top 10 search results, 85% users click on the top 20 search results and 92% users click on the top 30 search results. Therefore, how to make your websites appear in the first three pages of search results becomes the crucial issue. 　　The purpose of this paper is to develop a system of search engine optimization by researching and analyzing the biggest search engine of the world, Google, hoping it can become the influential reference

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Lin, Yel-Ku, and 林彥谷. "WWW Image Search Engine." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/89357424017909984168.

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碩士<br>國立中正大學<br>資訊工程研究所<br>91<br>There are large number of web pages and images in the WWW because of the rapid growth of Internet. In some sense, the WWW is like a database which contains a huge number of images. Therefore, the main purpose of the image search engine is to help users quickly find the images which they want with convenience. In the thesis, we will focus on keyword-based image search methods, find the words related to images according to the analysis of web pages, and develop a search engine that let users search the images by query words. In addition, before output

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Fang, Chuang-Hsiung, and 方壯雄. "Using Public Search Engine to Search Private Document." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/96685557489768725432.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>94<br>We believed, the best encryption is lets others not think this document has already encrypted. Using Chinese words characteristic, grammar, we hope to discover a methods that is still readable after encryption. But the meaning has already entirely different. Then we can achieves the goal of encryption. The paper will design and implement a system for Chinese information hiding. Let those encrypted document can search by the public search engine. But others cannot understand the original meaning of these documents. And also we can use public space to store th

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