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Zeitschriftenartikel zum Thema „Search engines“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 25. Juli 2025

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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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Manjula, D., and T. V. Geetha. "Semantic Search Engine." Journal of Information & Knowledge Management 03, no. 01 (2004): 107–17. http://dx.doi.org/10.1142/s0219649204000729.

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Currently existing search engines index documents only by words and as a result, when a query can be interpreted in different senses, the irrelevant results are obtained in the midst of relevant results. A semantic search engine is proposed here which indexes documents both by words and senses and as a result tries to avoid the irrelevant results. The "crawler" traverses the worldwide web and the normalized documents are sent to the disambiguator module, which identifies the top few sense(s) of ambiguous words by employing a weighted disambiguation algorithm. The documents are then indexed by

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Wellings, Susan, and Biddy Casselden. "An exploration into the information-seeking behaviours of engineers and scientists." Journal of Librarianship and Information Science 51, no. 3 (2017): 789–800. http://dx.doi.org/10.1177/0961000617742466.

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This article considers findings from Master’s research that investigated the information-seeking behaviours of engineers and scientists in the workplace. The objectives of this research were to establish where engineers and scientists look for information, consider their search preferences and determine the understanding they have of online search engine operation. There is limited current research in these areas looking at engineers and scientists in the workplace. The research was undertaken using a mixed methods research methodology. A survey was conducted with engineers and scientists work

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MARCHIORI, MASSIMO. "SOCIAL SEARCH ENGINES." International Journal of Bifurcation and Chaos 17, no. 07 (2007): 2355–61. http://dx.doi.org/10.1142/s0218127407018440.

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The web landscape has undergone massive changes in the past years. On the other hand, search engine technology has not quite kept the same pace. In this article we look at the current scenarios, and argue how social flows can be used to make up for a better generation of search engines. We consider how society and technological progress somehow changed the rules of the game, introducing good but also bad components, and see how this situation could be modeled by search engines. Along this line of thinking, we show how the real components of interest are not just web pages, but flows of informa

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Goyal, Harsh, and Komal kapoor. "Search Engine Optimization with Google." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 496–501. http://dx.doi.org/10.22214/ijraset.2022.47904.

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Abstract: This paper is a finished survey that how various strategies of Search Engine Optimization (SEO) can help to improve product marketing. Search engines have now become an important channel for increasing SMEs’ global reach and helps companies to compete with other and large companies. SMEs are using search engine optimization to improve their online visibility as a result (SEO). With the help of Search Engine Optimization small companies can actually now compete with the large companies and can appear ahead of large. The main objective of every website to list at the top of all thelink

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Maree, Mohammed, Saadat M. Alhashmi, and Mohammed Belkhatir. "Towards Improving Meta-Search through Exploiting an Integrated Search Model." Journal of Information & Knowledge Management 10, no. 04 (2011): 379–91. http://dx.doi.org/10.1142/s0219649211003073.

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Meta-search engines are created to reduce the burden on the user by dispatching queries to multiple search engines in parallel. Decisions on how to rank the returned results are made based on the query's keywords. Although keyword-based search model produces good results, better results can be obtained by integrating semantic and statistical based relatedness measures into this model. Such integration allows the meta-search engine to search by meanings rather than only by literal strings. In this article, we present Multi-Search+, the next generation of Multi-Search general-purpose meta-search

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Mider, Daniel. "Sztuka wyszukiwania w Internecie – autorski przegląd wybranych technik i narzędzi." Studia Politologiczne 2019, no. 54 (2019): 191–229. http://dx.doi.org/10.33896/spolit.2019.54.8.

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The text consists of two parts. The first analyzed the internet search techniques – in a general heuristic sense and detailed i.e. specific techniques belonging to the family of query languages – so called operators (logical operators, localization operators, operators for communication channels in social media, chronometric operators, search operators in the content of the www and search operators for specific types of content). Their main function is to clarify search queries. The second part of the text contains a review and analysis of selected internet exploration tools – search engines (

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Garner, Wendy. "Search engines." Nursing Standard 20, no. 22 (2006): 67–68. http://dx.doi.org/10.7748/ns.20.22.67.s53.

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Al-Shahi, Rustam. "Search Engines." Practical Neurology 1, no. 1 (2001): 60–61. http://dx.doi.org/10.1046/j.1474-7766.2001.01012.x.

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WOOTTON, JACQUELINE C. "Search Engines." Journal of Women's Health 6, no. 3 (1997): 345–47. http://dx.doi.org/10.1089/jwh.1997.6.345.

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Mager, Astrid. "European Search? How to counter-imagine and counteract hegemonic search with European search engine projects." Big Data & Society 10, no. 1 (2023): 205395172311631. http://dx.doi.org/10.1177/20539517231163173.

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This article investigates how developers of alternative search engines challenge increasingly corporate imaginaries of digital futures by building out counter-imaginaries of search engines devoted to social values instead of mere profit maximization. Drawing on three in-depth case studies of European search engines, it analyzes how search engine developers counter-imagine hegemonic search, what social values support their imaginaries, and how they are intertwined with their sociotechnical practices. This analysis shows that notions like privacy, independence, and openness appear to be fluid, c

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Isbandi, Isbandi, Zatnika Zatnika, and Edwin Triyatna. "IMPLEMENTASI TEKNIK SEO (SEARCH ENGINE OPTIMIZATION) UNTUK OPTIMASI WEBSITE PENJUALAN DI LESTARI JAYA MEBEL." EDUSAINTEK: Jurnal Pendidikan, Sains dan Teknologi 10, no. 3 (2023): 1047–60. http://dx.doi.org/10.47668/edusaintek.v10i3.867.

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The background of this research is to help Micro, Small and Medium Enterprises (MSMEs) which need promotional media in the form of websites. Therefore the author has an idea to implement SEO (Search Engine Optimization). SEO (Search Engine Optimization) is a technique for improving a website in the search results of search engines such as Google, Bing, etc. SEO (Search Engine Optimization) is an important marketing strategy for increasing the visibility of a website and the number of organic visitors to the intended site. This research uses quantitative methods. Data collected by online survey

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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 co

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R. Sathiya, R., A. G. Jayasree, Raghuvamsi Tangirala, and Damerla Prasanna. "A Study of Various Result Merging Strategies for a Meta Search Engine." International Journal of Engineering & Technology 7, no. 3.6 (2018): 255. http://dx.doi.org/10.14419/ijet.v7i3.6.14983.

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As the amount of data is growing day by day, the sources for these data are also growing simultaneously and to search through this very data, we need the use of search engines. Since each search engine is limited to its confined set of data, it would be even better to make use of a Meta search engine which will give us more relevant results than the ones obtained from any single search engine. It acts as an interface that provides the user with a single view from the various underlying search engines. The data is collected from these underlying search engines after they are accessed with the p

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Dayanand, Dr C. D., and Syed M. S. Zain. "Search Engines in Biomedical Research." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 04, no. 1 (2014): 259–60. http://dx.doi.org/10.58739/jcbs/v04i1.7.

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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 (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 engin

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Jose, Jeeva, and Lal P. Sojan. "Analysis of the Temporal Behaviour of Search Engine Crawlers at Web Sites." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 06 (2013): 136–42. https://doi.org/10.5281/zenodo.14602851.

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Web log mining is the extraction of web logs to analyze user behaviour at web sites. In addition to user information, web logs provide immense information about search engine traffic and behaviour. Search engine crawlers are highly automated programs that periodically visit the web site to collect information. The behaviour of search engines could be used in analyzing server load, quality of search engines, dynamics of search engine crawlers, ethics of search engines etc. The time spent by various crawlers is significant in identifying the server load as major proportion of the server load is

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Lee, Sungin, Wonhong Jang, Eunsol Lee, and Sam G. Oh. "Search engine optimization." Library Hi Tech 34, no. 2 (2016): 197–206. http://dx.doi.org/10.1108/lht-02-2016-0014.

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Purpose – The purpose of this paper is to examine the effect of, and identify core techniques of, search engine optimization (SEO) techniques applied to the web (http://lg-sl.net) and mobile (http//m.lg-sl.net) Science Land content and services at LG Sangnam Library in Korea. Design/methodology/approach – In accordance with three major SEO guidelines, ten SEO techniques were identified and applied, and their implications were extracted on three areas: improved search engine accessibility, increased relevance between site content and search engine keywords, and improved site credibility. The ef

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Takama, Yasufumi, Yanjun Zhu, Shogo Kori, Koichi Yamaguchi, Lieu-Hen Chen, and Hiroshi Ishikawa. "Design of Context Search Engine Based on Analysis of User’s Search Intentions." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 6 (2016): 910–18. http://dx.doi.org/10.20965/jaciii.2016.p0910.

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The context search engine has been studied for answering trend-related queries. As trend information is obtained from temporal data, which is common in many applications, the context engine is expected to be available regardless of domains. When using existing search engines, it is supposed that users submit a series of queries based on search intention. Therefore, search functions of the context search engine should be designed based on the user’s potential search intention. To analyze user’s behavior in information retrieval, this paper conducted experiments using existing Web search engines

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O’Neill, Stephen, and Kevin Curran. "The Core Aspects of Search Engine Optimisation Necessary to Move up the Ranking." International Journal of Ambient Computing and Intelligence 3, no. 4 (2011): 62–70. http://dx.doi.org/10.4018/jaci.2011100105.

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Search engine optimization (SEO) is the process of improving the visibility, volume and quality of traffic to website or a web page in search engines via the natural search results. SEO can also target other areas of a search, including image search and local search. SEO is one of many different strategies used for marketing a website but SEO has been proven the most effective. An Internet marketing campaign may drive organic search results to websites or web pages but can be involved with paid advertising on search engines. All search engines have a unique way of ranking the importance of a w

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Zhang, Jin, Xin Cai, Taowen Le, Wei Fei, and Feicheng Ma. "A Study on Effective Measurement of Search Results from Search Engines." Journal of Global Information Management 27, no. 1 (2019): 196–221. http://dx.doi.org/10.4018/jgim.2019010110.

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This article describes how as internet technology continues to change and improve lives and societies worldwide, effective global information management becomes increasingly critical, and effective Internet information retrieval systems become more and more significant in providing Internet users worldwide with accurate and complete information. Search engine evaluation is an important research field as search engines directly determine the quality of information users' Internet searches. Relevance-decrease pattern/model plays an important role in search engine result evaluation. This research

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Li, Yi, Zhihui Yuan, Yujie Li, and Jing Liu. "Factors influencing search engine usage behavior." Social Behavior and Personality: an international journal 46, no. 1 (2018): 1–10. http://dx.doi.org/10.2224/sbp.6211.

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We analyzed the effect of individual factors, contextual factors, and perception of search engine advertising on users' search engine usage behavior. The sample comprised 404 Chinese who used search engines in the context of their paid employment. Results showed that (a) perceived search skills and perceived search engine reliance significantly and positively impacted users' general search engine usage, (b) perceived advertising clutter reduced the beneficial effects of perceived search skills on users' general search engine usage, (c) users with higher perceived search engine reliance preferr

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Kaur, Gurneet. "ROLE AND IMPORTANCE OF SEARCH ENGINE OPTIMIZATION." International Journal of Research -GRANTHAALAYAH 5, no. 6 (2017): 147–51. http://dx.doi.org/10.29121/granthaalayah.v5.i6.2017.2007.

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Search Engines are an indispensible platform for users all over the globe to search for relevant information online. Search Engine Optimization (SEO) is the exercise of improving the position of a website in search engine rankings, for a chosen set of keywords. SEO is divided into two parts: On-Page and Off-Page SEO. In order to be successful, both the areas require equal attention. This paper aims to explain the functioning of the search engines along with the role and importance of search engine optimization.

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Gurneet, Kaur. "ROLE AND IMPORTANCE OF SEARCH ENGINE OPTIMIZATION." International Journal of Research - Granthaalayah 5, no. 6 (2017): 147–51. https://doi.org/10.5281/zenodo.818213.

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Search Engines are an indispensible platform for users all over the globe to search for relevant information online. Search Engine Optimization (SEO) is the exercise of improving the position of a website in search engine rankings, for a chosen set of keywords. SEO is divided into two parts: On-Page and Off-Page SEO. In order to be successful, both the areas require equal attention. This paper aims to explain the functioning of the search engines along with the role and importance of search engine optimization.

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Qian, Shuang Yan. "Design and Implementation of Landscape Plant Information Search Engine." Advanced Materials Research 971-973 (June 2014): 1892–96. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1892.

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With the explosive growth of the World Wide Web information, we need the appropriate retrieval tools, especially the retrieval of the professional information, we need a embody of search engines with the professional vocabulary features. Based on the research of search engine's core technology, this paper presents a design scheme which is the botanical garden plant information search engine based on Internet data, we descript of its design.

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Heintz, Christophe. "Web search engines and distributed assessment systems." Distributed Cognition 14, no. 2 (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 implementi

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Al-anbaki, Simaa Hassan Hadi. "Smart Search Engine." International Academic Journal of Science and Engineering 11, no. 1 (2024): 317–21. http://dx.doi.org/10.9756/iajse/v11i1/iajse1137.

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Existing information retrieval systems, such search engines, must be improved due to the issue of having too much information on the web or in broad sectors. More consideration is needed. Integrated search tools that can manage searches and filters effectively and show relevant results The main sitting technology is bloated with ever-increasing volumes of data, much like the Internet. You'll have finished your keyword research and all of this information one day. Its capacity to deliver timely information that people are seeking. Search engines work to overcome the restrictions imposed by the

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Hook, David. "Study of Search Engine Transaction Logs Shows Little Change in How Users use Search Engines." Evidence Based Library and Information Practice 1, no. 3 (2006): 67. http://dx.doi.org/10.18438/b80014.

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A review of:  Jansen, Bernard J., and Amanda Spink. “How Are We Searching the World Wide Web? A Comparison of Nine Search Engine Transaction Logs.” Information Processing & Management 42.1 (2006): 248-263.  Objective – To examine the interactions between users and search engines, and how they have changed over time.   Design – Comparative analysis of search engine transaction logs.  Setting – Nine major analyses of search engine transaction logs.  Subjects – Nine web search engine studies (4 European, 5 American) over a seven-year

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Unadkat, Rimpal. "Survey Paper on Semantic Web." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 4 (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 techn

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Bello, Rotimi-Williams, and Firstman Noah Otobo. "Conversion of Website Users to Customers-The Black Hat SEO Technique." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (2018): 29. http://dx.doi.org/10.23956/ijarcsse.v8i6.714.

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Search Engine Optimization (SEO) is a technique which helps search engines to find and rank one site over another in response to a search query. SEO thus helps site owners to get traffic from search engines. Although the basic principle of operation of all search engines is the same, the minor differences between them lead to major changes in results relevancy. Choosing the right keywords to optimize for is thus the first and most crucial step to a successful SEO campaign. In the context of SEO, keyword density can be used as a factor in determining whether a webpage is relevant to a specified

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Ti, Haowei, and Ding Ma. "Research on Google Search and Amazon Search Based on the Comparison of Algorithms." International Journal of Economics & Management Sciences 11, no. 3 (2022): 4. https://doi.org/10.37421/ 2162-6359.2022.11.626.

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Search engine optimization, which can optimize the search display position of content and expose the target content to readers faster, is a great tool for marketing. For foreign trade practitioners, the traffic entrances of the two major search engines, Amazon and Google, determine the exposure of products. Amazon drives consumers to click and search with shopping as the demand and has a clearer consumption intention, while Google is a bigger information plaza than Amazon, leading people to various websites.

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Chen, Lin Chih. "Building a Post-Search Academic Search Engine Based on a Serial of Clustering Methods." Applied Mechanics and Materials 284-287 (January 2013): 3051–55. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3051.

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Academic search engines, such as Google Scholar and Scirus, provide a Web-based interface to effectively find relevant scientific articles to researchers. However, current academic search engines are lacking the ability to cluster the search results into a hierarchical tree structure. In this paper, we develop a post-search academic search engine by using a mixed clustering method. In this method, we first adopt a suffix tree clustering and a two-way hash mechanism to generate all meaningful labels. We then develop a divisive hierarchical clustering algorithm to organize the labels into a hier

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Vegesna, Rohith. "AI Query Protocol (AIQP) : AI-Powered Search Engine, Eliminating Traditional Crawling." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41538.

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Search engines currently function by carrying out web crawling followed by indexing and ranking the retrieved websites for information retrieval purposes. Window search engines create inefficient operations and expensive maintenance requirements because they allow outdated information and Search Engine Optimization manipulations. This article presents AI Query Protocol (AIQP) as a standardized communication framework which provides real-time exchanges between search engines and website AI assistants. Website AI agents receive structured questions from search engines which yield instant verifie

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Beneventano, Domenico, and Sonia Bergamaschi. "Provenance-Aware Semantic Search Engines Based On Data Integration Systems." International Journal of Organizational and Collective Intelligence 4, no. 2 (2014): 1–30. http://dx.doi.org/10.4018/ijoci.2014040101.

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Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, bas

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Paraskevas, Alexandros, Ioannis Katsogridakis, Rob Law, and Dimitrios Buhalis. "Search Engine Marketing: Transforming Search Engines into Hotel Distribution Channels." Cornell Hospitality Quarterly 52, no. 2 (2011): 200–208. http://dx.doi.org/10.1177/1938965510395016.

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Wani, Zahid Ashraf, and Adil Ahmad Sofi. "Retrieval efficiency of select search engines vis-à-vis diverse open courseware formats." Electronic Library 34, no. 3 (2016): 457–70. http://dx.doi.org/10.1108/el-08-2014-0132.

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Purpose This paper aims to gauge the visibility of open content available in different formats of select open courseware (OCW) repositories through prominent search engines. Design/methodology/approach Open content in three formats (pdf, audio and video) from four OCW repositories listed in the OCW consortium under the science and technology subject heading were searched through seven select search engines. Findings None of the selected OCW repositories are fully visible on the selected search engines. Visibility of OCW content varied from one search engine to the other and was affected by the

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Zhang, Fan, Xiu Lan Feng, and Jin Sheng Yuan. "Vertical Search Engines on Forestry." Advanced Materials Research 143-144 (October 2010): 1270–74. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.1270.

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With the rapid growth of forestry information,the amount of information on forestry is increasing rapidly. Comprehensive search engine is powerful,but its speed and accuracy of industry search is limited, owing to a host of information. According to the definition of vertical search engines,Heritrix Web Crawler and full text search framework of Lucene,this paper is mainly concerned the information of capture,indexing and search strategies in order to achieve an ideal forestry vertical search engine design. Experiments compared with comprehensive have proved the effectiveness of the proposed me

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Reddy, Mr D. Ranadeep. "Creating Search Engine Using Machine Learning Methods." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 667–72. http://dx.doi.org/10.22214/ijraset.2024.59841.

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Abstract: The vast and ever-expanding amount of information available in the WWW has led to the widespread usage of search engines for data retrieval. It can be challenging to locate information that is actually relevant and helpful, even while ordinary search engines offer users an intuitive interface for entering queries and retrieving web page links as results. To rectify that problem, which paper presents a novel search engine that work ML techniques. The target is to come up users with most relevant web sites when they query the engine. The suggested search engine improves the relevancy a

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Fesenmaier, Daniel R., Zheng Xiang, Bing Pan, and Rob Law. "A Framework of Search Engine Use for Travel Planning." Journal of Travel Research 50, no. 6 (2010): 587–601. http://dx.doi.org/10.1177/0047287510385466.

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Search engines have become one of the primary tools for travel planning and, as such, have become an important element in the marketing efforts of destination marketing organizations. Recently, it has been demonstrated that because of the dynamic relationships among search engine providers, the tourism industry, and travelers, it is essential that destination marketing organizations understand how search engines are used by travelers within the travel planning process. This study proposed a three-stage model that provides a framework for examining how online travelers use search engines and ho

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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 (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 k

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Economides, Anastasios A., and Antonia Kontaratou. "Hotels Pricing at Travel Search Engines." International Journal of Online Marketing 1, no. 4 (2011): 64–74. http://dx.doi.org/10.4018/ijom.2011100105.

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Web 2.0 applications have been increasingly recognized as important information sources for consumers, including the domain of tourism. In the center of the travelers’ interest is the use of these applications in order to compare and choose hotels for their accommodation at various tourism destinations. It is important to investigate the issues related to the presence of the hotels on some of the most dominant tourism search engines and to the prices that they present. This paper compares the search engines and determines whether the cheapest and to the most complete one can be discovered. Thi

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