Relevant bibliographies by topics / Search engine optimization

Contents

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

Academic literature on the topic 'Search engine optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 23 February 2023

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Journal articles on the topic "Search engine optimization"

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Lee, Sungin, Wonhong Jang, Eunsol Lee, and Sam G. Oh. "Search engine optimization." Library Hi Tech 34, no. 2 (June 20, 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 effects were quantitatively analyzed in terms of registered search engine keywords and influx of visits via search engines. Findings – This study shows that SEO techniques help increase the exposure of the library services and the number of visitors through search engines. Practical implications – SEO techniques have been applied to a few non-Korean information service organizations, but it is not a well-accepted practice in Korean libraries. And the dominant search engines in Korea have published their own SEO guidelines. Prior to this study, no significant endeavors have been undertaken in the context of Korean library services that have adopted SEO techniques to boost exposure of library services and increase user traffics. Originality/value – This is the first published study that has applied optimized SEO techniques to Korean web and mobile library services, in order to demonstrate the usefulness of the techniques for maximized exposure of library content.
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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 (December 31, 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 thelinks on search engines. So, search engine optimization is an art which helps to improves a website’s visibility in the search engine results. Search engines makes the business environment more transparent and more competitive. For data collection used literature survey. The findings of this study show that using an SEO strategy can significantly enhance product marketing.
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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 derive their position in search results from it. Next, we introduced and examined the object of the optimization, which is a particular website. This web site was created for the sole purpose of implementing and testing all the main SEO techniques. The main objective of this article was to determine whether search engine optimization increases ranking of website in search results and subsequently leads to higher traffic. This research question is supported by testing and verification of results. The last part of our article concludes the research results and proposes further recommendations.
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Veglis and Giomelakis. "Search Engine Optimization." Future Internet 12, no. 1 (December 31, 2019): 6. http://dx.doi.org/10.3390/fi12010006.

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., Deepthi K. "SEARCH ENGINE OPTIMIZATION." International Journal of Research in Engineering and Technology 06, no. 01 (January 25, 2017): 84–87. http://dx.doi.org/10.15623/ijret.2017.0601016.

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Karalkar, Kunal, and Shripad Bhide. "A Review on SEO: Search Engine Optimization." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 331–41. http://dx.doi.org/10.31142/ijtsrd12963.

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G, Sankari, Pushpalatha G, Senbagam V, Karthika M, and Anbuselvan N. "Search Engine Optimization in Advanced Computer Vision." SIJ Transactions on Computer Networks & Communication Engineering 07, no. 01 (February 15, 2019): 06–09. http://dx.doi.org/10.9756/sijcnce/v7i1/05020080102.

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ALMUKHTAR, Firas, Nawzad MAHMOODD, and Shahab KAREEM. "SEARCH ENGINE OPTIMIZATION: A REVIEW." Applied Computer Science 17, no. 1 (March 30, 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 optimization. The authors also present the benefits, limitation, challenges, and the search engine optimization application in business.
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Kaur, Gurneet. "ROLE AND IMPORTANCE OF SEARCH ENGINE OPTIMIZATION." International Journal of Research -GRANTHAALAYAH 5, no. 6 (June 30, 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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Gudivada, Venkat N., Dhana Rao, and Jordan Paris. "Understanding Search-Engine Optimization." Computer 48, no. 10 (October 2015): 43–52. http://dx.doi.org/10.1109/mc.2015.297.

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Dissertations / Theses on the topic "Search engine optimization"

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

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The use of search engines is a common way to navigate through information today. The field of information retrieval is the field of finding documents in large unstructured collections. Within this field there are widely researched baseline solutions to solve this problem. There are also more advanced techniques (often based on machine learning) to improve relevant results further. However, picking the right algorithm or technique when implementing a search engine is no trivial task and deciding which performs better might seem hard. This project takes a commonly used baseline search engine implementation (elasticsearch) and measures its relevance score using standard measurements within the field of information retrieval (precision, recall, f-measure). After establishing a baseline configuration a query expansion algorithm (based on Word2Vec) is implemented in parallel with a recommendation algorithm (collaborative filtering) to compare against each other and the baseline configuration. Finally a combined model using both the query expansion algorithm and collaborative filtering is used to see if they can utilize each other’s strengths to make an even better setup. Findings show that both Word2Vec and collaborative filtering improves relevance over all three measurements (precision, recall, f-measure). These findings could also be confirmed to be significant through statistical analysis. Collaborative filtering seems to be performing better than Word2Vec for the topmost results while Word2Vec improves more the longer the result set is set to be. The combined model did show a significant improvement to all measurements for result sets of sizes 3 and 5 but larger result sets show less of an improvement and even worse performance.
Användandet av sökmotorer är idag en vanlig metod för att navigera genom information. Det akademiska området informationssökning studerar metoder för att hitta dokument inom stora ostrukturerade samlingar av dokument. Det finns flera standardlösningar inom området som ämnas att lösa problemet. Det finns även ett flertal mer avancerade tekniker, ofta baserade på maskininlärning, vars mål är att öka relevansen hos resultaten ytterligare. Att välja rätt algoritm är dock inte trivialt och att avgöra vilken som ger bäst resultat kan tyckas vara svårt. I det här projektet används en ofta använd sökmotor, elasticsearch, i dess standarduppsättning och utvärderas mot vanligen använda mätvärden inom informationssökning (precision, täckning och f-värde). Efter att standaruppsättningens resultat har etablerats så implementeras en frågeutvidgningsalgoritm (query expansion), baserad på Word2Vec, och en rekommendationsalgoritm baserad på collaborative filtering. Alla tre modellerna jämförs senare mot varandra efter de tre mätvärdena. Slutligen implementeras även en kombinerad modell av både Word2Vec och collaborative filtering för att se om det går att nyttja båda modellernas styrkor för en ännu bättre modell. Resultaten visar att både Word2Vec och collaborative filtering ger bättre resultat för alla mätvärden. Resultatförbättringarna kunde verifieras som signifikant bättre efter en statistisk analys. Collaborative filtering verkar prestera bäst när man endast tillåter ett få- tal dokument i resultatmängden medan word2vec blir bättre desto större resultatmängden är. Den kombinerade modellen visade en signifikant förbättring för resultatmängder i storlekarna 3 och 5. Större resultatmängder visade dock ingen förbättring eller till och med en försämring gentemot word2vec och collaborative filtering.
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Robisch, Katherine A. "Search Engine Optimization: A New Literacy Practice." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1394533925.

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

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In the subject of search engine optimization, many methods exist and many aspects are important to keep in mind. This thesis studies the relation between keywords and website ranking in Google Search, and how one can create the biggest positive impact. Keywords with smaller search volume are called "long tail" keywords, and they bear the potential to expand visibility of the website to a larger crowd by increasing the rank of the website for the large fraction of keywords that might not be as common on their own, but together make up for a large amount of the total web searches. This thesis will analyze where on the web page these keywords should be placed, and a case study will be performed in which the goal is to increase the rank of a website with knowledge from previous tests in mind.
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FISTER, JUSTIN M. "CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597.

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

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Aim: The aim of this study is to analyze the usage of Search Engine Optimization and Knowledge Graphs and the connection between them to achieve profitable business visibility and reach. Methods: Following a qualitative method together with an inductive approach, ten marketing professionals were interviewed via an online questionnaire. To conduct this study both primary and secondary data was utilized. Scientific theory together with empirical findings were linked and discussed in the analysis chapter. Findings: This study establishes current Search Engine Optimization utilization by businesses regarding common techniques and methods. We demonstrate their effectiveness on the Google Knowledge Graph, Google My Business and resulting positive business impact for increased visibility and reach. Difficulties remain in accurate tracking procedures to analyze quantifiable results. Contribution of the thesis: This study contributes to the literature of both Search Engine Optimization and Knowledge Graphs by providing a new perspective on how these subjects have been utilized in modern marketing. In addition, this study provides an understanding of the benefits of SEO utilization on Knowledge Graphs. Suggestions for further research: We suggest more extensive investigation on the elements and utilization of Knowledge Graphs; how the structure can be affected; which techniques are most effective on a bigger scale and how effectively the benefits can be measured. Key Words: Search Engine, Search Engine Optimization, SEO, Knowledge Graphs, Google My Business, Google Search Engine, Online Marketing.
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Schooner, Patrick. "Model for Auditing Search Engine Optimization for E-business." Thesis, Linköping University, Department of Science and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57214.

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E-commerce combines web technology with business economics. As of the last 10 years, online visibility for such online enterprises now heavily rely on the relationship between the own online sales platform and Search Engines for improved traffic consisting of presumable customers with the intent of acquiring products or services related to the customers’ needs. In 2008 an Internet behavioural analysis showed that over 90% percent of Swedish internet users make use of search engines at least once a week, stating that online visibility through the use of search engines now is a crucial business marketing aspect. To improve the relationship between online e-commercial platforms and search engines several applications exists within the technical field of Online Marketing – one being Search Engine Optimization (SEO),

As a subset of Online Marketing, SEO consists mainly of three subareas; Organic Search Engine Optimization (Organic SEO), Search Engine Marketing (SEM) and Social Media Optimization (SMO). The true nature of how Search Engines operate to crawl and index web contents are hidden behind business secrets owned by the individual search engines operating online, leaving SEO auditors and operators to systematically “try-and-error” test for optimal settings.

The first part of this thesis unfolds the SEO theory obtained from online sources, acclaimed literature and articles to discover settings in which SEO auditors and operator may use as tools to improve online visibility and accessibility on live websites to search engines. The second part sets on forming a theory driven work model (called the “PS Model”) to systematically work with SEO; structure for implementations and ways to measure the improvements.

Third part of the thesis evaluates the PS model using a case study where the model is implemented upon. The case study uses a website (in this thesis referred to as “BMG”) owned by a company active in the biotechnological research and development field situated in Sweden (in this thesis referred to as “BSG”), which at the start of January 2010 was in need of SEO improvements as the relationship between the search engine Google had somewhat stagnated leaving several vital documents outside of Google’s indexing and the relevancy between performed search quires and site-wide keywords had been lowered.

The focus of this thesis reside on bringing forth a work model taking in essential parts of SEO (Organic SEO, SEM and SMO), implementing it on the BMG platform to improve the website’s online visibility and accessibility to search engines (mainly focusing on Google), thus enhancing and solving the stagnated situation identified as such in January 2010 by the BMG site-owners – consequently validating the PS Model. In May 2010 it was shown that the PS model did improve site-wide indexing at Google and search queries containing the main set of keywords in use of BMG was improved in terms of relevancy (higher placing on search result pages).

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Kanwal, Wasfa. "Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4881.

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ABSTRACT Context: With growing number of online businesses, Search Engine Optimization (SEO) has become vital to capitalize a business because SEO is key factor for marketing an online business. SEO is the process to optimize a website so that it ranks well on Search Engine Result Pages (SERPs). Dynamic websites are commonly used for e-commerce because they are easier to update and expand; however they are subjected to indexing related problems. Objectives: This research aims to examine and address dynamic websites indexing related issues. To achieve aims and objectives of this research I intend to explore dynamic websites indexing considerations, investigate SEO tools to carry SEO campaign in three major search engines (Google, Yahoo and Bing), experiment SEO techniques, and determine to what extent dynamic websites can be made search engine friendly on these major search engines. Methods: In this research, detailed literature survey is performed to evaluate existing knowledge for SEO for dynamic websites. Further empirical experiments are conducted to address dynamic websites indexing problems; and to evaluate SEO techniques used in empirical experiments. Results: It is found that all major search engines, including Google, cannot fully index dynamic websites. I used some SEO techniques which I explored during this study to help dynamic webpage(s) get indexed in major search engines. The experiment results reflect the effectiveness of SEO techniques including URL encoding /friendly URLs on major search engines. Conclusions: I conclude that, dynamic websites are subjected to indexing related problems and require additional SEO efforts to appear in SERPs. Not all SEO techniques are equally effective on all search engines to improve indexing of dynamic webpage(s). Each implemented SEO technique has different impression on major search engines (Google, Yahoo, Bing, Ask, and AOL). As, the encoded URLs technique is effective on all major search engines. However, Yahoo and Bing prefer friendly URLs over typical URLs with parameters. Therefore, presentation of dynamic URL could be quite paying if it is needed to index dynamic website on search engines other than Google.
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Slavík, Michal. "Search Engine Marketing neziskových organizací." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-124602.

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The goal of this thesis is to design methodics for Search Engine Marketing (SEM) in nonprofit organizations (NPOs) which takes advantage of their specifics. Other goals include practical evaluation of the methodics and analysis of the current state of NPOs websites. Determined goals are reached by merging theoretical background from relevant literature with the knowledge gained during field research and with author's experience. Designed methodics is built on the following hypotheses: NPOs are able to negotiate better trade terms than trading companies, NPOs can delegate their volunteers to do some SEM activities. Field research confirmed both hypotheses. Hypothesis that NPOs websites are static because NPOs see no profit in regular publishing was disproved. The methodics consists of four phases and also includes recommended tools, metrics, topics for publishing and a list of linkbaiting activities. The thesis consists of five chapters. The first chapter summarizes the necessary theoretical background, while the second chapter defines terms and premises. The main methodics can be found in chapter three. The fourth chapter contains current state analysis based on examination of 31 websites. A comparison of the methodics' hypotheses and activities against the experience of 21 NPOs representatives and 3 experts in the field of SEO is given in the last chapter. Opinions of the both groups of respondents are compared too. Based on the respondents' judgments on costs and utility of the methodics' activities a rank of these activities is finally created. The main contribution of this thesis is a conversion of the universal SEM theory into the specific conditions and language of NPOs practitioners and an analysis of the current state in this field.
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Watson, Veronica. "Basic system configuration in search engine." Xavier University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=xavier1545566567119888.

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Ribeiro, Joana Filipa Inácio. "Aplicação das técnicas de Search Engine : optimization a um Site." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/11369.

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Mestrado em Marketing
Num mercado saturado de marca, onde o meio online está em forte expansão é importante que uma empresa/marca marque presença no online e que se destaque. Uma marca tem que se aproximar cada vez mais dos seus consumidores ou clientes. Deve ser conhecida, lembrada e relembrada. Hoje em dia ser uma marca e estar presente no online não basta. Para ter sucesso deve ser encontrada, comprendida e memorável pelos consumidores. Assim, surge a necessidade de aplicar o processo de Search Engine Optimization no site de uma marca. Search Engine Optmization (SEO) tem como objectivo optimizar um site para os motores de pesquisa com o objectivo de trazer mais visitas relevantes ao site da marca. O SEO produz um elevado nível de trafégo qualificado, investir em SEO permite alcançar uma maior credibilidade junto dos consumidores (Sen 2005). O objectivo deste trabalho de projecto é fazer a optimização do site www.youcook.pt através das técnicas de Search Engine Optimization. Os resultados da optimização deste projecto foram positivos para a marca e dentro do espaço de tempo permitido conseguiu-se obter resultados relevantes para a marca. A YouCook neste momento é uma marca com presença digital e pode ser encontrada pelos utilizadores.
In sutured market of brands, where the online is in great expansion it's important for a company/ brand to make a statement in the online. A brand has to create a connection with her consumers and clients. Have to be known, remembered and recalled. Today be a brand and be present in online isn't enough. To have success the brand need to be found, understand and unforgettable by the consumers. That way appear the necessity of a Search Engine Optimization for the website of a brand. Search Engine Optimization (SEO) has as objective improved the search engines to bring more views to the brand website. The SEO makes the qualified traffic raise, invest in a SEO allows the brand achieve more credibility for the consumers (Sen 2005). The objective of this project is to make an improvement of the website www.youcook.pt through the Search Engine Optimization techniques. The improvement results of this project were positives for the brand and were made in the limits of the space and time death line. We achieve good results. In this moment the YouCook is a brand with a digital presence and can be found by their users.
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Books on the topic "Search engine optimization"

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Search engine optimization. [Calif.]: O'Reilly, 2006.

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Grappone, Jennifer. Search Engine Optimization. New York: John Wiley & Sons, Ltd., 2008.

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Search Engine Optimization. 2nd ed. Hoboken: Wiley [Imprint], 2009.

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Susan, Esparza, and Clay, eds. Search Engine Optimization. Hoboken: For Dummies [Imprint], 2009.

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Kent, Peter. Search engine optimization for dummies. 4th ed. Hoboken, NJ: Wiley Publishing, Inc., 2011.

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Ledford, Jerri L. SEO: Search engine optimization bible. Hoboken, N.J: Wiley, 2008.

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Kent, Peter. Search Engine Optimization For Dummies. New York: John Wiley & Sons, Ltd., 2004.

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SEO: Search engine optimization bible. Hoboken, N.J: Wiley, 2008.

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Kelsey, Todd. Introduction to Search Engine Optimization. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2851-7.

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Perkins, Todd. Search engine optimization for Flash. Sebastopol, CA: O'Reilly Media, Inc., 2009.

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Book chapters on the topic "Search engine optimization"

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Lieberam-Schmidt, Sönke. "Search Engine Optimization." In Analyzing and Influencing Search Engine Results, 163–203. Wiesbaden: Gabler, 2010. http://dx.doi.org/10.1007/978-3-8349-8915-4_5.

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Van Looy, Amy. "Search Engine Optimization." In Social Media Management, 113–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21990-5_6.

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West, Adrian W. "Search Engine Optimization." In Practical Web Design for Absolute Beginners, 169–82. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1993-5_19.

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Charlesworth, Alan. "Search engine optimization." In Digital Marketing, 63–98. 3rd edition. | Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315175737-4.

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Charlesworth, Alan. "Search engine optimization." In Absolute Essentials of Digital Marketing, 18–33. New York : Routledge, 2020. | Series: Absolute essentials of business and economics: Routledge, 2020. http://dx.doi.org/10.4324/9781003015789-2.

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West, Adrian W. "Search Engine Optimization." In Practical HTML5 Projects, 357–76. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4276-5_16.

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McGaw, Jim. "Search Engine Optimization." In Beginning Django E-Commerce, 231–54. Berkeley, CA: Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-2536-2_11.

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Charlesworth, Alan. "Search engine optimization." In Digital Marketing, 61–92. 4th ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003147411-4.

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Van Looy, Amy. "Search Engine Optimization." In Social Media Management, 125–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99094-7_6.

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Das, Subhankar. "Search Engine Algorithm and Search Engine Marketing." In Search Engine Optimization and Marketing, 117–80. First edition. | Boca Raton : CRC Press, 2021.: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429298509-6.

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Conference papers on the topic "Search engine optimization"

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Patil, Amruta Vikas, and Vikas Madhukar Patil. "Search Engine Optimization Technique Importance." In 2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN). IEEE, 2018. http://dx.doi.org/10.1109/gcwcn.2018.8668581.

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Gupta, Swati, Nitin Rakesh, Abha Thakral, and Dev Kumar Chaudhary. "Search engine optimization: Success factors." In 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2016. http://dx.doi.org/10.1109/pdgc.2016.7913146.

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Kadam, Aniket D., Shashank D. Joshi, Sachin V. Shinde, and Sampat P. Medhane. "Question Answering Search engine short review and road-map to future QA Search Engine." In 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO). IEEE, 2015. http://dx.doi.org/10.1109/eesco.2015.7253949.

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Hui, Zhou, Qin Shigang, Liu Jinhua, and Chen Jianli. "Study on Website Search Engine Optimization." In 2012 International Conference on Computer Science and Service System (CSSS). IEEE, 2012. http://dx.doi.org/10.1109/csss.2012.236.

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Joglekar, Bela, Rohan Bhatia, Soumya Jayaprakash, Karan Raina, and Saniya Mulchandani. "Search Engine Optimization Using Unsupervised Learning." In 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA). IEEE, 2019. http://dx.doi.org/10.1109/iccubea47591.2019.9129011.

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Barbar, Aziz, and Anis Ismail. "Search Engine Optimization (SEO) for Websites." In ICCTA 2019: 2019 5th International Conference on Computer and Technology Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3323933.3324072.

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Varsha, P. S. Grover, and Laxmi Ahuja. "An Overview of Search Engine Optimization." In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2021. http://dx.doi.org/10.1109/icrito51393.2021.9596287.

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Lemos, Joyce Yoseph, and Abhijit R. Joshi. "Search engine optimization to enhance user interaction." In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2017. http://dx.doi.org/10.1109/i-smac.2017.8058379.

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Sharma, Dushyant, Rishabh Shukla, Anil Kumar Giri, and Sumit Kumar. "A Brief Review on Search Engine Optimization." In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2019. http://dx.doi.org/10.1109/confluence.2019.8776976.

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Gaou, Salma, Aissam Bekkari, Marouane El Mabrouk, and Abdelhamid Zouhair. "Search Engine Optimization to detect user's intent." In BDCA'17: 2nd international Conference on Big Data, Cloud and Applications. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3090354.3090396.

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Reports on the topic "Search engine optimization"

1

Aldrich, Susan. Search Engine Marketing and Optimization Wisdom V.2003. Boston, MA: Patricia Seybold Group, December 2003. http://dx.doi.org/10.1571/psgp12-19-03cc.

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