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Artykuły w czasopismach na temat „Search engine”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

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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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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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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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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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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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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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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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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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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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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Asim, Shahzad, Witarsyah Jacob Deden, Mohd Nawi Nazri, Mahdin Hairulnizam, and Eka Saputri Marheni. "The new trend for search engine optimization, tools and techniques." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 3 (2020): 1568–83. https://doi.org/10.11591/ijeecs.v18.i3.pp1568-1583.

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Search Engines are used to search any information on the internet. The primary objective of any website owner is to list their website at the top of all the results in Search Engine Results Pages (SERPs). Search Engine Optimization is the art of increasing visibility of a website in Search Engine Result Pages. This art of improving the visibility of website requires the tools and techniques; This paper is a comprehensive survey of how a Search Engine (SE) works, types and parts of Search Engine and different techniques and tools used for Search Engine Optimization (SEO.) In this paper, we will

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Sharma, Dilip Kumar, and A. K. Sharma. "Search Engine." International Journal of Information Communication Technologies and Human Development 3, no. 2 (2011): 38–51. http://dx.doi.org/10.4018/ijicthd.2011040103.

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ICT plays a vital role in human development through information extraction and includes computer networks and telecommunication networks. One of the important modules of ICT is computer networks, which are the backbone of the World Wide Web (WWW). Search engines are computer programs that browse and extract information from the WWW in a systematic and automatic manner. This paper examines the three main components of search engines: Extractor, a web crawler which starts with a URL; Analyzer, an indexer that processes words on the web page and stores the resulting index in a database; and Inter

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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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14

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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Radadiya, Jitendrakumar P., Kalpesh Rasiklal Rakholiya, and Dr Dhaval R. Kathiriya. "Intelligent Sementic Web Search Engine." International Journal of Scientific Research 1, no. 7 (2012): 34–35. http://dx.doi.org/10.15373/22778179/dec2012/13.

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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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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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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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Ivanechko, N., V. Dudar, and V. Pavelko. "Search engine marketing." Galic'kij ekonomičnij visnik 74, no. 1 (2022): 158–62. http://dx.doi.org/10.33108/galicianvisnyk_tntu2022.01.158.

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The article considers the elements of Internet marketing. It is determined that search marketing is a search engine optimization and a modern method of site promotion by optimizing the resource for social networks. The classification of search queries is carried out according to the following features: query competitiveness, query frequency, query value, query geodependence, query regionality, query seasonality, query time of day. It is established that the sign of competitiveness of the request is divided into highly competitive, medium competitive, low competitive; the query frequency attrib

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Ivanechko, N., V. Dudar, and V. Pavelko. "Search engine marketing." Galic'kij ekonomičnij visnik 74, no. 1 (2022): 158–62. http://dx.doi.org/10.33108/galicianvisnyk_tntu2022.01.158.

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The article considers the elements of Internet marketing. It is determined that search marketing is a search engine optimization and a modern method of site promotion by optimizing the resource for social networks. The classification of search queries is carried out according to the following features: query competitiveness, query frequency, query value, query geodependence, query regionality, query seasonality, query time of day. It is established that the sign of competitiveness of the request is divided into highly competitive, medium competitive, low competitive; the query frequency attrib

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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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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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Zhou, Bao Jian, Wei Qi, Li Gang Chen, and Qiang Ye. "Online Sponsored Search Budget Allocation across Search Engines: A Simulation Analysis." Applied Mechanics and Materials 577 (July 2014): 926–30. http://dx.doi.org/10.4028/www.scientific.net/amm.577.926.

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Recently, sponsored search has been rapidly growing which increase tremendous interests in improving performance in search engine marketplace. The complexity of market dynamics makes it difficult for advertisers to maximizing the effect of advertising. Simulation analysis is a more viable option than real world testing especially in fast accomplishing different experiments and effectively prompting decision making supports. In this paper, the sponsored search budget allocation problem model integrated with quality score for single search engine has been explored and then extended to multiple q

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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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Zilincan, Jakub. "SEARCH ENGINE OPTIMIZATION." CBU International Conference Proceedings 3 (September 19, 2015): 506–10. http://dx.doi.org/10.12955/cbup.v3.645.

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Search engine optimization techniques, often shortened to “SEO,” should lead to first positions in organic search results. Some optimization techniques do not change over time, yet still form the basis for SEO. However, as the Internet and web design evolves dynamically, new optimization techniques flourish and flop. Thus, we looked at the most important factors that can help to improve positioning in search results. It is important to emphasize that none of the techniques can guarantee high ranking because search engines have sophisticated algorithms, which measure the quality of webpages and

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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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Shahzad, Asim, Deden Witarsyah Jacob, Nazri Mohd Nawi, Hairulnizam Mahdin, and Marheni Eka Saputri. "The new trend for search engine optimization, tools and techniques." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 3 (2020): 1568. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1568-1583.

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<span>Search Engines are used to search any information on the internet. <br /> The primary objective of any website owner is to list their website at the top of all the results in Search Engine Results Pages (SERPs). Search Engine Optimization is the art of increasing visibility of a website in Search Engine Result Pages. This art of improving the visibility of website requires the tools and techniques; This paper is a comprehensive survey of how a Search Engine (SE) works, types and parts of Search Engine and different techniques and tools used for Search Engine Optimization (SEO

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Gunjan, Vinit Kumar, Pooja, Monika Kumari, Amit Kumar, and Allam Appa Rao. "Search Engine Optimization with Google." Asian Journal of Engineering and Applied Technology 1, no. 1 (2012): 36–42. http://dx.doi.org/10.51983/ajeat-2012.1.1.2503.

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Search engine optimization is a strategical technique to take a web document in top search results of a search engine. Online presence of an organisation is not only an easy way to reach among the target users but it may be profitable too if optimization is done keeping in view of the target users as of the reason that most of the time users search out with the keywords of their use (Say; Ph.D in web technology) rather than searching the organisation name, and if the page link comes in the top positions then the page may be profitable. This work describes the tweaks of taking the page on top p

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ALMUKHTAR, Firas, Nawzad MAHMOODD, and Shahab KAREEM. "SEARCH ENGINE OPTIMIZATION: A REVIEW." Applied Computer Science 17, no. 1 (2021): 70–80. http://dx.doi.org/10.35784/acs-2021-07.

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The Search Engine has a critical role in presenting the correct pages to the user because of the availability of a huge number of websites, Search Engines such as Google use the Page Ranking Algorithm to rate web pages according to the nature of their content and their existence on the world wide web. SEO can be characterized as methodology used to elevate site keeping in mind the end goal to have a high rank i.e., top outcome. In this paper the authors present the most search engine optimization like (Google, Bing, MSN, Yahoo, etc.), and compare by the performance of the search engine optimiz

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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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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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RAKHSHAN, ARASH, LAWRENCE B. HOLDER, and DIANE J. COOK. "STRUCTURAL WEB SEARCH ENGINE." International Journal on Artificial Intelligence Tools 13, no. 01 (2004): 27–44. http://dx.doi.org/10.1142/s0218213004001405.

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We present a new approach in web search engines. The web creates new challenges for information retrieval. The vast improvement in information access is not the only advantage resulting from the keyword search. Additionally, much potential exists for analyzing interests and relationships within the structure of the web. The creation of a hyperlink by the author of a web page explicitly represents a relationship between the source and destination pages which demonstrates the hyperlink structure between web pages. Our web search engine searches not only for the keywords in the web pages, but als

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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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Tanjot, Kaur Kakkar, Kumar Nrip Nripesh, and Deshmukh Amarjeet. "A Study of Search Engine Optimizations (SEOs)." International Journal of Multidisciplinary Research Transactions 6, no. 5 (2024): 38–55. https://doi.org/10.5281/zenodo.11118982.

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Search Engine Optimization (SEO) can be defined as the process of affecting the website visibility in the world of evergreen search engines’s unpaid results. It can also be defined as a process including various techniques that is being used to enhance more traffic on the website from the ”free” and ”organic” search results that are being available on the search engines. SEO’s is an effort that is made to make your website be in the top search results of a search engine because mostly the user searches out with the keyword of their desired need, rather than

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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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Laddha, Shilpa S., and Pradip M. Jawandhiya. "Semantic Search Engine." Indian Journal of Science and Technology 10, no. 21 (2017): 1–6. http://dx.doi.org/10.17485/ijst/2017/v10i23/115568.

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Vázquez, José. "Science Search Engine." American Biology Teacher 66, no. 1 (2004): 70. http://dx.doi.org/10.2307/4451620.

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Vyas, Pooja, Archith Menon, Aditya Ravindran, and Samit Shivadekar. "Ubiquitous Search Engine." International Journal of Computer Applications 117, no. 20 (2015): 24–27. http://dx.doi.org/10.5120/20673-3429.

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Editorial, Article. "Credible Search Engine." Bibliotekovedenie [Russian Journal of Library Science], no. 4 (July 27, 2011): 132–33. http://dx.doi.org/10.25281/0869-608x-2011-0-4-132-133.

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Veglis and Giomelakis. "Search Engine Optimization." Future Internet 12, no. 1 (2019): 6. http://dx.doi.org/10.3390/fi12010006.

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Jayavel, Senthil, Margret Anouncia, and Abhinav Kapoor. "Semantic Search Engine." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 1, no. 2 (2013): 19. http://dx.doi.org/10.3991/ijes.v1i2.2711.

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Corrigan, Catherine P. "Search engine secrets." Nursing 45, no. 9 (2015): 1–3. http://dx.doi.org/10.1097/01.nurse.0000463659.71155.06.

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Stern, Ewan. "Search-engine power." New Scientist 206, no. 2759 (2010): 26. http://dx.doi.org/10.1016/s0262-4079(10)61126-8.

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Anthes, Gary. "Search engine agendas." Communications of the ACM 59, no. 4 (2016): 19–21. http://dx.doi.org/10.1145/2892712.

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., Deepthi K. "SEARCH ENGINE OPTIMIZATION." International Journal of Research in Engineering and Technology 06, no. 01 (2017): 84–87. http://dx.doi.org/10.15623/ijret.2017.0601016.

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Abbas, Ahmed Abdulrudah. "University Search Engine." Journal of Kufa for Mathematics and Computer 1, no. 2 (2010): 46–53. http://dx.doi.org/10.31642/jokmc/2018/010205.

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In this paper, I present a new search engine system to find the home page of any university. This system ( University Search Engine ) depends on building a database that has information which it used to access the home page of any university by entering a keyword. This keyword is used to generate a hyperlink for this university . In fact, most students use the Internet for accessing and using the webpages; therefore, the target of this research is to build a new search engine that makes the students access the home pages of the universities easily. When testing the system ( UniversitySearch En

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Knight, Hanne. "Search engine marketing." Business & Management Collection 2025, no. 6 (2025): e1006452. https://doi.org/10.69645/hcdm1315.

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Gyasoddin, Imran Ahemad, and Prof. D. G. Ingale. "META SEARCH ENGINE." International Journal of Ingenious Research, Invention and Development (IJIRID) 3, no. 5 (2024): 311–14. https://doi.org/10.5281/zenodo.13991669.

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Meta search engines are designed to improve the efficiency and breadth of online searches by aggregating results from multiple search engines. Unlike traditional search engines, which rely on their own indexed databases and algorithms, meta search engines query several search engines simultaneously and present a unified set of results. This approach addresses limitations in single search engines, such as limited coverage, ranking biases, and incomplete results (Zhang & Wu, 2005; Jansen & Pooch, 2001). Meta search engines work by distributing user queries to various search engines, coll

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Zhang, Qing Hua. "Existing Condition Analysis on Bad Faith of Auto Bidding for Search Engine Keywords." Key Engineering Materials 439-440 (June 2010): 128–33. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.128.

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With rapid development of search engine users, the auto bidding for search engine keywords is stealthily rising and such kind of service is now essentially being conducted on the majority of existing search engines. For merchants, users and even the search engine service suppliers, auto bidding is of many advantages, which is also thought it has brought forth serious phenomenon of bad faith in terms of such kind of similar search websites, leading to a crisis of confidence. This text is intended to give it a full analysis on the various problems of bad faith resulted from the auto bidding for

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