Relevant bibliographies by topics / Web Search engines

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Web Search engines'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Web Search engines"

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Rajashekar, T. B. "Web search engines." Resonance 3, no. 11 (November 1998): 40–53. http://dx.doi.org/10.1007/bf02838708.

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Schwartz, Candy. "Web search engines." Journal of the American Society for Information Science 49, no. 11 (1998): 973–82. http://dx.doi.org/10.1002/(sici)1097-4571(1998)49:11<973::aid-asi3>3.0.co;2-z.

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Duka, Mariusz, Marek Sikora, and Artur Strzelecki. "From Web Catalogs to Google: A Retrospective Study of Web Search Engines Sustainable Development." Sustainability 15, no. 8 (April 17, 2023): 6768. http://dx.doi.org/10.3390/su15086768.

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This study presents a review of search engines and search engine optimization and shows how the search engine landscape relates to sustainable development. We have used a narrative review research method and described three main topics: the past and present of web catalogs and search engines; current knowledge about the dominant types of search results presented in Google search; and methods of search engine optimization. Technical elements of important website areas related to technical website auditing are discussed. We summarize our research with several key findings on how web search engines are involved in sustainable development and offer a glimpse into the future use of web searching with the help of artificial intelligence chats and prompt engineering.
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Bukhor, Saiful i. "Analisis Perbandingan Fitur Search Engine." INFORMAL: Informatics Journal 3, no. 1 (February 25, 2019): 17. http://dx.doi.org/10.19184/isj.v3i1.9850.

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Search engines are used in the web as a tool for information retrieval. Web Server is a large warehouse of heterogeneous and unstructured data so that to filter out relevant information from people, a search engine is needed. Search engines usually consist of page repositories, indexing modules, query modules and ranking modules. Search engines do not work alone, besides that there is a web browser that supports the work of this search engine to be more optimal. A browser is software that is run on a user's computer (user) that displays web documents or information taken from a web server [1]. A browser is the type of intermediary the user uses most often. This paper aims to analyze three search engines namely Google, Yahoo, and Bing based on existing features. These features include web search, image search, video search, news search, route search, book search, change search settings, display number of views, shopping, language translator. Google stands as the best search engine among all search engines, which works using the Page Rank algorithm. Page Rank is a numerical value that determines the importance of a web page by calculating the number of backlinks.
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Unadkat, Rimpal. "Survey Paper on Semantic Web." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 4 (October 2015): 13–17. http://dx.doi.org/10.4018/ijapuc.2015100102.

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The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.
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Heintz, Christophe. "Web search engines and distributed assessment systems." Distributed Cognition 14, no. 2 (September 21, 2006): 387–409. http://dx.doi.org/10.1075/pc.14.2.15hei.

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I analyse the impact of search engines on our cognitive and epistemic practices. For that purpose, I describe the processes of assessment of documents on the Web as relying on distributed cognition. Search engines together with Web users, are distributed assessment systems whose task is to enable efficient allocation of cognitive resources of those who use search engines. Specifying the cognitive function of search engines within these distributed assessment systems allows interpreting anew the changes that have been caused by search engine technologies. I describe search engines as implementing reputation systems and point out the similarities with other reputation systems. I thus call attention to the continuity in the distributed cognitive processes that determine the allocation of cognitive resources for information gathering from others.
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Kasavana, Michael L., and Carl P. Borchgrevink. "Untangling Web Search Engines." Journal of Hospitality & Tourism Education 10, no. 4 (January 1999): 45–51. http://dx.doi.org/10.1080/10963758.1999.10685210.

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Alqaaidi, Sakher Khalil. "A Hybrid Approach for Web Change Detection." International Journal of Information Technology and Web Engineering 8, no. 2 (April 2013): 46–69. http://dx.doi.org/10.4018/jitwe.2013040104.

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Search engines save copies of crawled web pages to provide instant search results, saved pages may become old and un-updated as original pages change providing new information and new links, and most of websites don’t submit these new changes to search engines so search engines don’t depend mainly on websites techniques of submitting changes. Keeping pages fresh and updated in search engine is important for giving real page ranks and for providing real time information. Techniques were invented to improve the page update process by search engine. In this paper the author combines two of good known techniques and implements the new one via experiments that improve better results in different experiment cases.
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Stevenson, Valerie. "Search Engine Update." Legal Information Management 1, no. 3 (2001): 28–31. http://dx.doi.org/10.1017/s1472669600000566.

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Looking back to 1999, there were a number of search engines which performed equally well. I recommended defining the search strategy very carefully, using Boolean logic and field search techniques, and always running the search in more than one search engine. Numerous articles and Web columns comparing the performance of different search engines came to different conclusions on the ‘best’ search engines. Over the last year, however, all the speakers at conferences and seminars I have attended have recommended Google as their preferred tool for locating all kinds of information on the Web. I confess that I have now abandoned most of my carefully worked out search strategies and comparison tests, and use Google for most of my own Web searches.
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Kumar, Kailash, and Abdulaziz Al-Besher. "Critical Analysis of Major Search Engines." Journal of Computational and Theoretical Nanoscience 16, no. 9 (September 1, 2019): 3712–16. http://dx.doi.org/10.1166/jctn.2019.8239.

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This paper examines the overlapping of the results retrieved between three major search engines namely Google, Yahoo and Bing. A rigorous analysis of overlap among these search engines was conducted on 100 random queries. The overlap of first ten web page results, i.e., hundred results from each search engine and only non-sponsored results from these above major search engines were taken into consideration. Search engines have their own frequency of updates and ranking of results based on their relevance. Moreover, sponsored search advertisers are different for different search engines. Single search engine cannot index all Web pages. In this research paper, the overlapping analysis of the results were carried out between October 1, 2018 to October 31, 2018 among these major search engines namely, Google, Yahoo and Bing. A framework is built in Java to analyze the overlap among these search engines. This framework eliminates the common results and merges them in a unified list. It also uses the ranking algorithm to re-rank the search engine results and displays it back to the user.
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Dissertations / Theses on the topic "Web Search engines"

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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 and the methods of the operators of Search Engine Poisoning campaigns, an in-depth review of automated and semi-automated web exploit kits is done, as well as looking into the motives for running these campaigns. Three high profile case studies are examined, and the various Search Engine Poisoning campaigns associated with these case studies are discussed in detail to the reader. From February to August 2012, data was collected from the top trending topics on Google’s search engine along with the top listed sites related to these topics, and then passed through various automated tools to discover if these results have been infiltrated by the operators of Search Engine Poisoning campaings, and the results of these automated scans are then discussed in detail. During the research period, manual searching for Search Engine Poisoning campaigns was also done, using high profile news events and popular search terms. These results are analysed in detail to determine the methods of attack, the purpose of the attack and the parties behind it
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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.
Includes bibliographical references (leaves 138-144). Also available in electronic version. Access restricted to campus users.
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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 and in many cases do not realise how their search has been limited by shortcomings of the model. Before the advent of the search engine, web directories were the only information-finding tool on the web. They were manually built and could not compete economically with the effciency of search engines. This lead to their virtual extinction, with the effect that the "information discovery" need of users is no longer served by any major information provider. Furthermore, none of the dominant information-finding models account for the person of the user in any meaningful way controllable by (or even visible to) the user. This work proposes a method to combine a search engine, a web directory and a personal information management agent into an intelligent Web Exploration Engine in a way which bridges the gaps between these seemingly unrelated tools. Our hybrid, for which we have developed a proof-of-concept prototype [Kalinov et al., 2010b], allows users to both locate specific data and to discover new information. Information discovery is served by a web directory which is built with the assistance of a dynamic hierarchical classifier we developed [Kalinov et al., 2010a]. The category structure achieved by it is also the basis of a large number of nested search engines, allowing information locating both in general (similar to a "standard" search engine) and in a variety of contexts selectable by the user.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
Science, Environment, Engineering and Technology
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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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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 informació es requerida per oferir un servei precís, l’objectiu es proporcionar registres de cerca que siguin adequats per proporcionar personalització. Amb aquesta finalitat, proposem un protocol que empra una xarxa social per tal d’ofuscar els perfils dels usuaris. La segona part tracta la disseminació de registres de cerca. Proposem tècniques que la permeten, proporcionant k-anonimat i minimitzant la pèrdua d’informació.
Web Search Engines collects and stores information about their users in order to tailor their services better to their users' needs. Nevertheless, while receiving a personalized attention, the users lose the control over their own data. Search logs can disclose sensitive information and the identities of the users, creating risks of privacy breaches. In this thesis we discuss the problem of limiting the disclosure risks while minimizing the information loss. The first part of this thesis focuses on the methods to prevent the gathering of information by WSEs. Since search logs are needed in order to receive an accurate service, the aim is to provide logs that are still suitable to provide personalization. We propose a protocol which uses a social network to obfuscate users' profiles. The second part deals with the dissemination of search logs. We propose microaggregation techniques which allow the publication of search logs, providing $k$-anonymity while minimizing the information loss.
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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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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 utilisateurs d'utiliser ces moteurs de recherche tout en protégeant leurs vies privées est devenu primordial. Dans cette thèse, nous introduirons SimAttack, une attaque contre les solutions protégeant la vie privée de l'utilisateur dans ses interactions avec les moteurs de recherche. Cette attaque vise à retrouver les requêtes initialement envoyées par l'utilisateur. Nous avons montré avec cette attaque que trois mécanismes représentatifs de l’état de l’art ne sont pas satisfaisants pour protéger la vie privée des utilisateurs. Par conséquent, nous avons développé PEAS, un nouveau mécanisme de protection qui améliore la protection de la vie privée de l'utilisateur. Cette solution repose sur deux types de protection : cacher l'identité de l'utilisateur (par une succession de deux serveurs) et masquer sa requête (en la combinant avec des fausses requêtes). Afin de générer des fausses requêtes réalistes, PEAS se base sur les précédentes requêtes envoyées par les utilisateurs du système. Pour finir, nous présenterons des mécanismes permettant d'identifier la sensibilité des requêtes. Notre objectif est d'adapter les mécanismes de protection existants pour protéger uniquement les requêtes sensibles, et ainsi économiser des ressources (ex. : CPU, mémoire vive). Nous avons développé deux modules pour identifier les requêtes sensibles. En déployant ces modules sur des mécanismes de protection existants, nous avons établi qu'ils permettent d'améliorer considérablement leurs performances
During the last few years, the technological progress in collecting, storing and processing a large quantity of data for a reasonable cost has raised serious privacy issues. Privacy concerns many areas, but is especially important in frequently used services like search engines (e.g., Google, Bing, Yahoo!). These services allow users to retrieve relevant content on the Internet by exploiting their personal data. In this context, developing solutions to enable users to use these services in a privacy-preserving way is becoming increasingly important. In this thesis, we introduce SimAttack an attack against existing protection mechanism to query search engines in a privacy-preserving way. This attack aims at retrieving the original user query. We show with this attack that three representative state-of-the-art solutions do not protect the user privacy in a satisfactory manner. We therefore develop PEAS a new protection mechanism that better protects the user privacy. This solution leverages two types of protection: hiding the user identity (with a succession of two nodes) and masking users' queries (by combining them with several fake queries). To generate realistic fake queries, PEAS exploits previous queries sent by the users in the system. Finally, we present mechanisms to identify sensitive queries. Our goal is to adapt existing protection mechanisms to protect sensitive queries only, and thus save user resources (e.g., CPU, RAM). We design two modules to identify sensitive queries. By deploying these modules on real protection mechanisms, we establish empirically that they dramatically improve the performance of the protection mechanisms
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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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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.
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 practical purposes. This study does not attempt to describe all the currently available search engines, but provides a comparison of some, which are deemed to be among the most useful. It concentrates on search engines and their characteristics only. The goal is to help a new user get the most useful "hits" when using the various tools.
AFRIKAANSE OPSOMMING: Al hoe meer studies word gedoen om benaderings te ontwikkel vir die evaluasie van menslike interaksie met Web-soekenjins. Om te meet hoe effektief 'n soekenjin inligting op die Wêreldwye Web kan opspoor, is duur vanweë die mens se relevansiebeoordeling wat daarby betrokke is. Dit is egter belangrik dat die bestuurders van sake-ondememings en ander mense sal weet watter die mees doeltreffende soekenjins is, aangesien sulke soekenjins hulle gebruikers help om 'n hoër aantal relevante Webblaaie met minder inspanning te vind. Hierdie inligting kan ook gebruik word om 'n paar praktiese doelwitte te verwesenlik. Daar word nie gepoog om al die soekenjins wat tans beskikbaar is, te beskryf nie, maar sommige van die soekenjins wat as die nuttigste beskou word, word vergelyk. Daar word alleenlik op soekenjins en hulle kenmerke gekonsentreer. Die doel is om die nuwe gebruiker te help om die nuttigste inligting te verkry deur gebruik te maak van verskeie hulpmiddels.
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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 customization possibilities including refining and sorting. This paper is an attempt to analyze qualitatively and quantitatively the three most used and popular search engines for academic resource discovery: Google Scholar, Scirus and Windows Live Academic.
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Books on the topic "Web Search engines"

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Pfaffenberger, Bryan. Web search strategies. New York: MIS:Press, 1996.

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Odom, Sean. SEO for 2010: Search engine optimization secrets. [Tigard, OR ]: MediaWork Pub., 2010.

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White, Martin. Enterprise search guidebook. Ashford, Middlesex, England: Free Pint, 2005.

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Maze, Susan. Authoritative guide to Web search engines. New York: Neal-Schuman, 1997.

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Hock, Randolph. The extreme searcher's guide to Web search engines: A handbook for the serious searcher. Medford, N.J: CyberAge Books, 1998.

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Sentoraru Konpyūta Sābisu Kabushiki Kaisha., ed. Heisei 19-nendo Keizai Sangyōshō jōhō daikōkai purojekuto (kyōtsū kiban gijutsu to kenshō).: Kensaku enjin no tajigen hyōka to kensaku no rongutēru bubun kara no jōhō chūshutsu gijutsu. [Tokyo]: Sentoraru Konpyūta Sābisu Kabushiki Kaisha, 2008.

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Sentoraru Konpyūta Sābisu Kabushiki Kaisha., ed. Heisei 19-nendo Keizai Sangyōshō jōhō daikōkai purojekuto (kyōtsū kiban gijutsu to kenshō).: Kensaku enjin no tajigen hyōka to kensaku no rongutēru bubun kara no jōhō chūshutsu gijutsu. [Tokyo]: Sentoraru Konpyūta Sābisu Kabushiki Kaisha, 2008.

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Hock, Randolph. The extreme searcher's guide to Web search engines: A handbook for the serious searcher. 2nd ed. Medford, NJ: CyberAge Books, 2001.

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Hock, Randolph. The extreme searcher's guide to Web search engines: A handbook for the serious searcher. Medford, N.J: CyberAge Books, 1999.

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1975-, Macinta Tim, ed. Web developer.com guide to search engines. New York: J. Wiley, 1998.

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Book chapters on the topic "Web Search engines"

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Ceri, Stefano, Alessandro Bozzon, Marco Brambilla, Emanuele Della Valle, Piero Fraternali, and Silvia Quarteroni. "Search Engines." In Web Information Retrieval, 71–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39314-3_6.

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Hendry, D. G., and E. N. Efthimiadis. "Conceptual Models for Search Engines." In Web Search, 277–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_15.

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Lewandowski, Dirk. "The Deep Web." In Understanding Search Engines, 247–60. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22789-9_14.

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Chang, George, Marcus J. Healey, James A. M. McHugh, and Jason T. L. Wang. "Multimedia Search Engines." In Mining the World Wide Web, 51–63. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1639-2_4.

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Lewandowski, Dirk. "Ways of Searching the Web." In Understanding Search Engines, 11–23. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22789-9_2.

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d’Aquin, Mathieu, Li Ding, and Enrico Motta. "Semantic Web Search Engines." In Handbook of Semantic Web Technologies, 659–700. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-92913-0_16.

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Reilly, P. "‘Googling’ Terrorists: Are Northern Irish Terrorists Visible on Internet Search Engines?" In Web Search, 151–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_10.

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Chang, George, Marcus J. Healey, James A. M. McHugh, and Jason T. L. Wang. "Keyword-Based Search Engines." In Mining the World Wide Web, 3–18. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1639-2_1.

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Fry, J., S. Virkar, and R. Schroeder. "Search Engines and Expertise about Global Issues: Well-defined Landscape or Undomesticated Wilderness?" In Web Search, 255–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_14.

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Hinman, L. M. "Searching Ethics: The Role of Search Engines in the Construction and Distribution of Knowledge." In Web Search, 67–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75829-7_5.

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Conference papers on the topic "Web Search engines"

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Wu, Sun, Hsien-Tsung Chang, Ting-Chao Hsu, and Pei-Shin Liu. "Approximate Keyword Search in Web Search Engines." In 2006 1st International Conference on Digital Information Management. IEEE, 2007. http://dx.doi.org/10.1109/icdim.2007.369229.

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Kharazmi, S., A. F. Nejad, and H. Abolhassani. "Freshness of Web search engines: Improving performance of Web search engines using data mining techniques." In 2009 4th International Conference for Internet Technology and Secured Transactions (ICITST 2009). IEEE, 2009. http://dx.doi.org/10.1109/icitst.2009.5402607.

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Agrawal, Sanjay, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian Konig, and Dong Xin. "Exploiting web search engines to search structured databases." In the 18th international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1526709.1526777.

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Peng, Qian, Weiyi Meng, Hai He, and Clement Yu. "Clustering e-commerce search engines." In the 13th international World Wide Web conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1013367.1013503.

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Issa, Taroub. "How Web Applications Complement Search Engines?" In 2013 Palestinian International Conference on Information and Communication Technology (PICICT). IEEE, 2013. http://dx.doi.org/10.1109/picict.2013.26.

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Spink, A., B. J. Jansen, C. Blakely, and S. Koshman. "Overlap Among Major Web Search Engines." In Third International Conference on Information Technology: New Generations (ITNG'06). IEEE, 2006. http://dx.doi.org/10.1109/itng.2006.105.

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Catena, Matteo. "Energy Efficiency in Web Search Engines." In Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015). BCS Learning & Development, 2015. http://dx.doi.org/10.14236/ewic/fdia2015.1.

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Dom, Byron, Krishna Bharat, Andrei Broder, Marc Najork, Jan Pedersen, and Yoshinobu Tonomura. "How search engines shape the web." In Special interest tracks and posters of the 14th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1062745.1062776.

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Lam, Ka Wai, and Chi Ho Leung. "Rank aggregation for meta-search engines." In the 13th international World Wide Web conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1013367.1013487.

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Xie, Xiaohui, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang, and Shaoping Ma. "Why People Search for Images using Web Search Engines." In WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3159652.3159686.

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Reports on the topic "Web Search engines"

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Hernández-López, Luis Pablo, Miriam Romero-López, and Guillermo García-Quirante. Humor and social competence in High School and University education: a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2021. http://dx.doi.org/10.37766/inplasy2021.11.0033.

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Review question / Objective: Research question: What type of relationship exists between the use of humor and social competence, or any of their respective components, in post-compulsory education students? The aim of this paper was to conduct a systematic theoretical review of the relationship between humor and social competence in post-compulsory education students. Information sources: Electronic bibliographic databases of Psychology, Biomedical and Multidisciplinary Sciences, as well as the ProQuest search platform and the SCOPUS and Web of Science meta-search engines. The electronic databases used were MEDLINE, ProQuest Dissertations & Theses Global, Psychology Database, APA PsycArticles, APA PsycInfo, SCOPUS and Web of Science Core Collection. Platforms: ProQuest and the meta-search engines SCOPUS and Web of Science.
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MOSKALENKO, O. L., R. A. YASKEVICH, and E. V. KASPAROV. METABOLIC SYNDROME: PREVALENCE, DIAGNOSIS CRITERIA. Science and Innovation Center Publishing House, April 2022. http://dx.doi.org/10.12731/978-0-615-67340-0-3.

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This article presents a review of the literature and analyzes scientific research on the metabolic syndrome and diagnostic criteria. The authors conducted a scientific search using the relevant keywords in the PubMed and Google Scholar search engines, in the Scopus, Web of Science, MedLine, The Cochrane Library, EMBASE, Global Health, CyberLeninka, RSCI and others databases.
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MOSKALENKO, O. L., S. YU TERESHCHENKO, and E. V. KASPAROV. INTERNET ADDICTION: DIAGNOSIS CRITERIA AND METHODS. Science and Innovation Center Publishing House, April 2022. http://dx.doi.org/10.12731/978-0-615-67340-0-2.

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This article presents a review of the literature and analyzes scientific studies on the prevalence of Internet addiction in different countries. The authors conducted a scientific search using the relevant keywords in the PubMed and Google Scholar search engines, in the Scopus, Web of Science, MedLine, The Cochrane Library, EMBASE, Global Health, CyberLeninka, RSCI and others databases.
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Molla-Esparza, Cristian, Natalia Gandía Carbonell, María Isabel Gómez Núñez, and Laura Badenes Ribera. Prevalence of sex under the influence of drugs among young adults: a systematic review and meta-analysis protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0077.

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Review question / Objective: The objective of this systematic review and meta-analysis is to examine the prevalence of engaging in sex under the influence of drugs among young adults. Condition being studied: The prevalence of sex under the influence of drugs in young adults. Information sources: Published and unpublished literature will be systematically searched via three electronic databases: ISI Web of Science (WoS Core Collection); Scopus; and Psychological Information (PsycInfo). A grey literature search will also be performed via the Google and Google Scholar search engines, in order to obtain other potential relevant studies. Reference lists of relevant published studies will also be examined to obtain additional eligible reports. Additionally, emails will be sent to the research groups that have published the most about SDU, with the aim of identifying unpublished studies.
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Fitz, Julie, Marjorie E. Wechsler, and Stephanie Levin. State approaches to developing educational leaders. Learning Policy Institute, May 2024. http://dx.doi.org/10.54300/795.572.

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The purpose of this study was to understand the infrastructure that states have built for leadership-relevant professional learning by identifying the long-term leadership development initiatives supported by states and analyzing their purposes, target audiences, and scope. We conducted a scan between March and May of 2023 using search engines, state department of education websites, and other web-based documents. We found that at least 26 states support ongoing statewide leadership development initiatives to build the knowledge and skills of in-service leaders. This report provides examples of different states’ initiatives related to each of these functions. It also briefly addresses the federal, state, and local funding sources that states draw on to develop and sustain these initiatives.
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Arlitsch, Kenning. Data set supporting the dissertation Semantic Web Identity in Academic Organizations: Search engine entity recognition and the sources that influence Knowledge Graph Cards in search results. Montana State University ScholarWorks, 2016. http://dx.doi.org/10.15788/m2f590.

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Hogenes, Annemiek, Christiaan Overduin, Cornelis Slump, Cornelis van Laarhoven, Jurgen Fütterer, Richard ten Broek, and Martijn Stommel. The Influence of Irreversible Electroporation Parameters on the Size of the Ablation Zone and Thermal Effects: a Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0161.

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Review question / Objective: The aim of this study was to review the effect of irreversible electroporation (IRE) parameter settings on the size of the ablation zone and occurrence of thermal effects. Information sources: A search was performed in PubMed (also including MEDLINE), Web of Science, Embase, Institute of Electrical and Electronics Engineers (IEEE) Xplore Digital Library and American Society of Mechanical Engineers (ASME) Digital Collection. Of all conference abstracts of which no full text article was present in the title and abstract search, a web-based search (Google Scholar, ResearchGate, author and co-author name(s) in Embase) was done to investigate whether a full text article was available. A manual search of the reference lists of relevant (included) articles was performed to find articles which were not found by the initial search. The corresponding author was approached by e-mail (in case the contact details were available) when the full text of a relevant abstract (e.g. conference abstract) could not be found to verify whether the results were published as full text. The study was excluded when the full text could not be found or provided.
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Pawlowski, Wojtek P., and Avraham A. Levy. What shapes the crossover landscape in maize and wheat and how can we modify it. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600025.bard.

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Meiotic recombination is a process in which homologous chromosomes engage in the exchange of DNA segments, creating gametes with new genetic makeup and progeny with new traits. The genetic diversity generated in this way is the main engine of crop improvement in sexually reproducing plants. Understanding regulation of this process, particularly the regulation of the rate and location of recombination events, and devising ways of modifying them, was the major motivation of this project. The project was carried out in maize and wheat, two leading crops, in which any advance in the breeder’s toolbox can have a huge impact on food production. Preliminary work done in the USA and Israeli labs had established a strong basis to address these questions. The USA lab pioneered the ability to map sites where recombination is initiated via the induction of double-strand breaks in chromosomal DNA. It has a long experience in cytological analysis of meiosis. The Israeli lab has expertise in high resolution mapping of crossover sites and has done pioneering work on the importance of epigenetic modifications for crossover distribution. It has identified genes that limit the rates of recombination. Our working hypothesis was that an integrative analysis of double-strand breaks, crossovers, and epigenetic data will increase our understanding of how meiotic recombination is regulated and will enhance our ability to manipulate it. The specific objectives of the project were: To analyze the connection between double-strand breaks, crossover, and epigenetic marks in maize and wheat. Protocols developed for double-strand breaks mapping in maize were applied to wheat. A detailed analysis of existing and new data in maize was conducted to map crossovers at high resolution and search for DNA sequence motifs underlying crossover hotspots. Epigenetic modifications along maize chromosomes were analyzed as well. Finally, a computational analysis tested various hypotheses on the importance of chromatin structure and specific epigenetic modifications in determining the locations of double-strand breaks and crossovers along chromosomes. Transient knockdowns of meiotic genes that suppress homologous recombination were carried out in wheat using Virus-Induced Gene Silencing. The target genes were orthologs of FANCM, DDM1, MET1, RECQ4, and XRCC2.
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Guilfoyle, Michael, Amanda Anderson, Samuel Jackson, Jacob Jung, Theodore Zenzal, Burton Suedel, and Jeffrey Corbino. Coastal breeding bird phenology on the dredged-material islands of the Baptiste Collette Bayou, US Army Corps of Engineers, New Orleans District, Louisiana. Engineer Research and Development Center (U.S.), May 2024. http://dx.doi.org/10.21079/11681/48473.

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Coastal bird populations in North America have experienced significant population declines over the past four decades, and many species have become dependent upon human-made islands and other sediment-based habitats created through dredged material deposition. We monitored the breeding phenology of coastal bird populations utilizing dredged-material islands and open depositional areas in the Baptiste Collette Bayou in coastal Louisiana. Monitoring began in early May, prior to when most coastal species begin nesting, and continued through late August, when most breeding activity has ceased. Semimonthly surveys included area searches by foot and boat. Two deposition areas and one island supported large numbers of foraging, roosting, or breeding birds; surveys on these areas included using spotting scopes to identify species and count nests or young. Six islands and two open deposition areas were monitored. We also collected high-definition and lidar imagery using an uncrewed aerial system (UAS) in June, during peak nesting season. We recorded 77,474 cumulative detections of 68 species. Virtually all colonial nesting birds (terns and skimmers) nested on Gunn Island in 2021. We discuss these results in the context of dredged-material deposition by the US Army Corps of Engineers, New Orleans District, and offer recommendations for management of these areas.
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Elko, Nicole, Katherine Brutsché, Quin Robertson, Michael Hartman, and Zhifei Dong. USACE Navigation Sediment Placement : An RSM Program Database (1998 – 2019). Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44703.

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This US Army Corps of Engineers, Regional Sediment Management, technical note describes a geodatabase of federal coastal and inland navigation projects developed to determine the extent to which RSM goals have been implemented across the USACE at the project and district levels. The effort 1) quantified the volume of sediment dredged from federal navigation channels by both contract and USACE-owned dredges and 2) identified the placement type and whether sediment was placed beneficially. The majority of the dredging data used to populate the geodatabase were based on the USACE Dredging Information System DIS database, but when available, the geodatabase was expanded to include more detailed USACE district-specific data that were not included in the DIS database. Two datasets were developed in this study: the National Dataset and the District-Specific and Quality-Checked Dataset. The National Dataset is based on statistics extracted from the combined DIS Contract and Government Plant data. This database is a largely unedited database that combined two available USACE datasets. Due to varying degrees of data completeness in these two datasets, this study undertook a data refinement process to improve the information. This was done through interviews with the districts, literature search, and the inclusion of additional district-specific data provided by individual districts that often represent more detailed information on dredging activities. The District-Specific and Quality-Checked Database represents a customized database generated by this study. An interactive web-based tool was developed that accesses both datasets and displays them on a national map that can be viewed at the district or project scale.
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