Academic literature on the topic 'Search engines (SE)'

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Journal articles on the topic "Search engines (SE)"

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D.Minnie and S.Srinivasan. "META SEARCH ENGINE WITH AN INTELLIGENT INTERFACE FOR INFORMATION RETRIEVAL ON MULTIPLE DOMAINS." International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) 1, no. 4 (2011): 37–45. https://doi.org/10.5281/zenodo.3542608.

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This paper analyses the features of Web Search Engines, Vertical Search Engines, Meta Search Engines, and proposes a Meta Search Engine for searching and retrieving documents on Multiple Domains in the World Wide Web (WWW). A web search engine searches for information in WWW. A Vertical Search provides the user with results for queries on that domain. Meta Search Engines send the user’s search queries to various search engines and combine the search results. This paper introduces intelligent user interfaces for selecting domain, category and search engines for the proposed Multi-Domain M
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Saraygord Afshari, Sajad, Bhargava Jonnadula, Xiangyang Xu, Xihui Liang, and Zhaohui Yang. "Jet Engine Optimal Preventive Maintenance Scheduling Using Golden Section Search and Genetic Algorithm." Journal of Prognostics and Health Management 2, no. 1 (2022): 45–71. http://dx.doi.org/10.22215/jphm.v2i1.3321.

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Jet engines are critical assets in aircraft, and their availability is crucial in the modern aircraft industry. Therefore, their maintenance scheduling is one of the major tasks an airline has to make during an engine’s lifetime. A proper engine maintenance schedule can significantly reduce maintenance costs without compromising the aircraft's reliability and safety. Different maintenance scheduling approaches have been used for jet engines, such as corrective, preventive, and predictive maintenance strategies. Regarding the safety demands in aircraft industries, preventive maintenance is a fr
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MINASYAN, Vladimir. "Search Engine Friendliness of Search Engine Marketing Methods." Journal of Business 3, no. 1 (2014): 47–51. http://dx.doi.org/10.31578/job.v3i1.80.

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The article examines search engine friendliness of the most popular and widely used search engine marketing (SEM) methods. In the first part, SEM methods and approaches that are in line with search engines’ official guidelines are examined and analyzed. The second part deals with popular methods which are not welcomed by search engines and are implemented by companies solely for search engine rankings manipulation purposes. Finally, the last section describes several experiments conducted on live websites in order to figure out modern search engines abilities to identify widely used deceptive
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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 (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
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Jha, Radhika. "Xperia Search Engine." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 6331–40. http://dx.doi.org/10.22214/ijraset.2023.52996.

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Abstract: This research paper delves into the innerworkings of search engines and introduces Xperia, a personalized search engine aimed at enhancing information retrieval. The paper explores the fundamentaltechnologies employed by search engines, tracing their evolution and growth over time. It presents the development and implementation of Xperia, highlighting its unique feature set that goes beyond traditional search engines by providing users with not only relevant resourcelinks but also extracted information from various web sources. The paper begins with an introduction, providing the bac
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Zuo, Xiang Lin, Wen Bo Wang, Ying Wang, and Wan Li Zuo. "Research and Implementation of Improved Real-Time Crawler Modeling." Applied Mechanics and Materials 312 (February 2013): 791–95. http://dx.doi.org/10.4028/www.scientific.net/amm.312.791.

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The past decade has witnessed the rapid development of search engines, which has become an indispensable part of everyday life. However, people are no longer satisfied with accessing to ordinary information, and they may instead pay more attention to fresh information. This demand poses challenges to traditional search engines, which concern more about relevance and importance of web pages. A search engine compresses three modules: crawler, indexer and searcher. Changes are needed for all these three parts to improve search engine's freshness. This paper investigates the first part of search e
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de Cornière, Alexandre. "Search Advertising." American Economic Journal: Microeconomics 8, no. 3 (2016): 156–88. http://dx.doi.org/10.1257/mic.20130138.

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Search engines enable advertisers to target consumers based on the query they have entered. In a framework in which consumers search sequentially after having entered a query, I show that such targeting reduces search costs, improves matches and intensifies price competition. However, a profit-maximizing monopolistic search engine imposes a distortion by charging too high an advertising fee, which may negate the benefits of targeting. The search engine also has incentives to provide a suboptimal quality of sponsored links. Competition among search engines can increase or decrease welfare, depe
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Seymour, Tom, Dean Frantsvog, and Satheesh Kumar. "History Of Search Engines." International Journal of Management & Information Systems (IJMIS) 15, no. 4 (2011): 47. http://dx.doi.org/10.19030/ijmis.v15i4.5799.

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As the number of sites on the Web increased in the mid-to-late 90s, search engines started appearing to help people find information quickly. Search engines developed business models to finance their services, such as pay per click programs offered by Open Text in 1996 and then Goto.com in 1998. Goto.com later changed its name to Overture in 2001, and was purchased by Yahoo! in 2003, and now offers paid search opportunities for advertisers through Yahoo! Search Marketing. Google also began to offer advertisements on search results pages in 2000 through the Google Ad Words program. By 2007, pay
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Bukhor, Saiful i. "Analisis Perbandingan Fitur Search Engine." INFORMAL: Informatics Journal 3, no. 1 (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 f
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Tatyana, Ivanova. "Ontology-Based Metasearch Engine in Electronics Area." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 12 (2020): 273–77. https://doi.org/10.35940/ijitee.L8014.1091220.

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Paper The goal of search engines is to return accurate and complete results. Satisfying concrete user information needs becomes more and more difficult because of inability in it complete explicit specification and short comes of keyword-based searching and indexing. General search engines have indexed millions of web resources and often return thousands of results to the user query (most of them often inadequate). To increase result’s precession, users sometimes choose search engines, specialized in searching concrete domain, personalized or semantic search. A grand variety of specializ
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Dissertations / Theses on the topic "Search engines (SE)"

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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 a
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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.<br>Includes bibliographical references (leaves 138-144). Also available in electronic version. Access restricted to campus users.
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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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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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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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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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Zamurenko. "WEBSITE PROMOTION TECHNIQUES IN SEARCH ENGINES." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33932.

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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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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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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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Books on the topic "Search engines (SE)"

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Lewandowski, Dirk. Understanding Search Engines. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22789-9.

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White, Martin. Enterprise search guidebook. Free Pint, 2005.

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Haider, Jutta, and Olof Sundin. Invisible Search and Online Search Engines. Routledge, 2019. http://dx.doi.org/10.4324/9780429448546.

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Gossen, Tatiana. Search Engines for Children. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-12069-6.

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Odom, Sean. SEO for 2010: Search engine optimization secrets. MediaWork Pub., 2010.

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Gibbon, David C. Introduction to video search engines. Springer, 2008.

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Chang, Yi, and Hongbo Deng, eds. Query Understanding for Search Engines. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58334-7.

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David, Michael. WordPress 3 search engine optimization: Optimize your Website for popularity with search engines. Packt Pub., 2011.

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Hock, Randolph. The extreme searcher's guide to Web search engines: A handbook for the serious searcher. 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. Sentoraru Konpyūta Sābisu Kabushiki Kaisha, 2008.

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Book chapters on the topic "Search engines (SE)"

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Shenoy, Aravind, and Anirudh Prabhu. "Search Engines." In Introducing SEO. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1854-9_2.

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

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Ferragina, Paolo, and Fabrizio Luccio. "Search Engines." In Computational Thinking. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97940-3_9.

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Leung, Billy Tak Hoi, Jingzhen Xie, Linlin Geng, and Priscilla Nga Ian Pun. "Search Engines." In Transferring Information Literacy Practices. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7743-3_7.

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Privault, Nicolas. "Search Engines." In Springer Undergraduate Mathematics Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65820-4_8.

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Ferragina, Paolo, and Fabrizio Luccio. "Search Engines." In Undergraduate Topics in Computer Science. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-59922-4_9.

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Comer, Douglas E. "Internet Search (Search Engines)." In The Internet Book. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9780429447358-25.

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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. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1639-2_4.

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Thouvenin, Florent, Peter Hettich, Herbert Burkert, and Urs Gasser. "2 Search Engines." In Law, Governance and Technology Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90230-2_4.

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Martens, Betsy Van der Veer. "Databases, Search Engines." In Synthesis Lectures on Information Concepts, Retrieval, and Services. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32530-4_9.

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Conference papers on the topic "Search engines (SE)"

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Pfrommer, Samuel, Yatong Bai, Tanmay Gautam, and Somayeh Sojoudi. "Ranking Manipulation for Conversational Search Engines." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.534.

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Singh, Murari Kumar, Ashish Chakraverti, and Shiva Gupta. "Comprehensive Analysis on Image Search Engines." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10841130.

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Seyedarabi, Faezeh, and Rocio Calvo. "Search Engines." In DSAI 2016: 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion. ACM, 2016. http://dx.doi.org/10.1145/3019943.3019952.

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Dery, Hanan, Berkehan Ciftcioglu, Yang Song, et al. "Spintronics search engines." In 2011 69th Annual Device Research Conference (DRC). IEEE, 2011. http://dx.doi.org/10.1109/drc.2011.5994459.

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Snoek, Cees G. M., and Arnold W. M. Smeulders. "Video search engines." In the international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1873951.1874366.

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Pedersen, Jan O. "Internet search engines." In Special interest tracks and posters of the 14th international conference. ACM Press, 2005. http://dx.doi.org/10.1145/1062745.1062770.

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Guha, Neel, and Matt Wytock. "Course-specific search engines." In the 22nd International Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2487788.2488158.

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Guha, Neel. "Course specific search engines." In the sixth international workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2513204.2513216.

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Chang, Yun-Ke, Miguel A. Morales Arroyo, Amanda Spink, et al. "Search Engines' Help Systems." In 2008 Fifth International Conference on Information Technology: New Generations (ITNG). IEEE, 2008. http://dx.doi.org/10.1109/itng.2008.219.

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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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Reports on the topic "Search engines (SE)"

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Mager, Astrid, ed. Algorithmic Ideology. How capitalist society shapes search engines. Self, 2014. http://dx.doi.org/10.1553/ita-pa-am-12-3.

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Chiou, Lesley, and Catherine Tucker. Search Engines and Data Retention: Implications for Privacy and Antitrust. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23815.

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Mager, Astrid, ed. In search of ideology. Socio-cultural dimensions of Google and alternative search engines (ITA-manu:script--02). Self, 2014. http://dx.doi.org/10.1553/ita-ms-13-02.

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Melnyk, Yuriy. IJSA IS PRESENTED IN THE INTERNATIONAL SCIENTOMETRIC DATABASES, REPOSITORIES AND SEARCH ENGINES. KRPOCH, 2018. http://dx.doi.org/10.26697/ijsa.1.3.

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Aldrich, Susan. Using Search Engines to Find New Customers at the American Institute of Physics. Patricia Seybold Group, 2004. http://dx.doi.org/10.1571/bp3-4-04cc.

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Mager, Astrid, ed. Search Engines Matter: From Educating Users Towards Engaging with Online Health Information Practices. Self, 2014. http://dx.doi.org/10.1553/ita-pa-am-12-1.

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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, 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 datab
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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, 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, 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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Mager, Astrid, ed. Internet governance as joint effort - (Re)Ordering search engines at the intersection of global and local cultures. Self, 2018. http://dx.doi.org/10.1553/ita-pa-am-2018.

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