Figure 1 - uploaded by Utku Köse
Content may be subject to copyright.
Search engine optimization process  

Search engine optimization process  

Source publication
Article
Full-text available
Web sites, which index and class other web sites according to their keywords, explanations and contents and make it easier and faster to reach obtained site-search results, are called as search engines. SEO "Search Engine Optimization" is the one of the widely used technique that provides web sites fast reachable. In this work we explained required...

Contexts in source publication

Context 1
... the search engine optimization is basically based on keywords that are suitable to the web site and can be used to search with search engines. In order to optimize a web site according to search engines, it must be suitable to some technical conditions(Sezgin, 2009) A typical search engine optimization process that can be performed to move up a web site, is represented in Figure 1. Search engines must be taken into consideration while designing a web site. ...
Context 2
... keywords in page contents: Using these keywords as in different styles (bold, italic, underlined) from other texts may take attention of search engines and enable them to define the related texts as one of the determined keywords( (Sweeney, 2001)). Typing remarkable words in different styles is a true approach but editing all content in the related way is not true. ...

Similar publications

Article
Full-text available
Search engine optimization (SEO), the promoting of a Web site so it achieves optimal position with a search engine's rankings, is an important strategy for organizations and individuals in order to promote their brands online. Techniques for achieving SEO are relevant to students of marketing, computing, media arts, and other disciplines, and many...

Citations

... Table 3 shows the research summary of different studies, where researchers reported different quality factors for websites. Themistoklis et al, [25] Iman Rasekh [26] David Schubert [27] Yalcin et al. [28] Friedrich et al. [29] Pallant et al. [30] T. Ramayahet al. [31] Domain Authority, Page Authority Link Optimization, Page Speed, Content Responsiveness, Speed, Social Dimensions Design, Content, Navigation, SEO Social Commerce Features Organic, Paid, attractiveness CEO's IT innovativeness, Security ...
... According to Friedrich et al. [29] the study, social commerce is decisive towards attracting web traffic from new visitors which leads to better SERP ranking. Social commerce features refer to the social sharing features such as Facebook like button, rating, and customer review system like in Alibaba and Amazon's review and rating system, different community forums, etc. Pallant et al. [30] analyzed the use of organic and paid search. In this context, organic search is an extremely important choice for a stable SERP ranking position. ...
Article
Full-text available
Search Engines (SEs) have become the most significant tool for retrieving information from the World Wide Web (WWW) against user-generated queries. Presently, the data available on the Internet is growing exponentially in three different dimensions i.e. size, processing power, & software intelligence. The WWW has evolved from being a collection of static content (web 1.0) to an intelligent web (Web 3.0). To reach a large audience on the internet, it is now essential for every business to have a website. However, to reach more viewers, a website must be visible on top of the Search Engine Result Page (SERP) because SERP top-ranking ultimately gives benefits in terms of more web traffic and helps to generate more revenues. This paper introduces the important concepts of Search Engine Optimization (SEO) and provides numerous guidelines for website developers to enhance the visibility of their websites in the eyes of search engines. We concluded our paper by proposing key factors and introducing a SERP equation to predict business website ranking.
... Given that most retail traffic through search engines comes from SEO links (Baye et al., 2015), the technical mechanism of SEO has been the subject of several papers but has not studied long-run effects, which are considered relevant for strategic resource allocation and positioning of the website and the brand. Most of the literature considers concrete aspects of website design and tools to identify strong keywords and trends (Yalçın & Köse, 2010;Kaushik, 2009), including recommendations about specific structure, content, and linkage optimization or the optimal proportion of the number of keywords concerning the total number of words on the website (keyword density) to achieve a high positioning Malaga, 2008). ...
... Search engine keywords can be differentiated by the associated marketing technique in organic and paid keywords. SEO, commonly referred to as organic positioning, is defined as the adaptation of the content, design and technical configuration of the website to achieve a high positioning in the SERP and hence increase customer attraction to the website (Sheffield, 2020;Baye et al., 2015;Yalçın & Köse, 2010). Search engine marketing (SEM) in turn refers to paid advertising campaigns through tools provided by the search engine based on auction mechanisms for keywords to be placed in the first positions or highlighted position of the search results; when a user clicks on the ad and arrives at the corresponding website, the advertiser is paid by the website owner (Yang et al., 2015;Edelman et al., 2007). ...
Article
In digital marketing planning, keyword choice for search engine positioning is crucial for customer attraction, and the associated investment is an increasingly relevant part of the marketing budget. To what extent is it possible to optimize over time the resources allocated to positioning a brand on search engines? Often keyword costs are understood as monetary costs and the literature on keyword auctions suggests convergence towards a long-run equilibrium expenditure path. However, search engine optimization techniques, associated with implicit costs, have mainly focused on the short run. This paper suggests drawing long-term inferences from estimated cost per click, as the economic cost of organic keywords. Web analytics software is used to gather these data for leading fashion e-commerce. A time series test of transition dynamics identifies convergence of economic keyword costs between branded and generic keywords or catch-up, as an early state of convergence, for almost all considered e-commerce.
... Researchers can use the interactive nature of the internet to disseminate findings to a range of individuals [21], such as parents and educators who may be more likely to conduct an internet search than review journal articles. Since internet users are more likely to conduct two-or three-word searches in search engines [22], researchers may be able to reach a broader audience with a website that utilizes search engine optimization [23]. Strategies for such optimization might include providing high quality, useful content, link building by creating relevant content on another popular site that links back to the researcher's website and social sharing [23]. ...
... Based on the analysis of the search terms, it was unclear how much of that traffic was actually seeking sex education resources for people with developmental disabilities. Search engines use complex algorithms to guide potential visitors to websites that are challenging to manipulate [22] so it is unclear how the website could be developed differently to better attract visitors. As high-quality search term optimization is outside of the expertise of most content experts, it is important to note other strategies for using the website as a useful dissemination tool. ...
Article
Full-text available
Sex education is important for individuals with developmental disabilities; however, it is difficult for educators to find resources to support them when teaching sex education. A website, asdsexed.org, was developed to disseminate sex education resources. Using analytic data from the website we explored how dissemination occurs online. We identified (1) how visitors were referred to the website; (2) what search terms were used to look for sex education resources; (3) what content was most frequently viewed; and (4) how visitors engaged with the content. Search engines were the top referrer. Variations on the phrase “body parts” were the most frequently recorded terms. Free lesson plans were the most viewed content. Privacy social stories were the most engaged with content. Online dissemination was a complex undertaking but did allow for potential sex educators to be connected with research-based resources.
... Authors usually also choose some tags that either describe the article in the most general way or place the story in the context of other related articles that one could find on the website. From the user's point of view, tags provide an opportunity to navigate to other related material; however, having well-formulated tags is also crucial for Search Engine Optimization and could impact the website's visibility or the article [22]. ...
Preprint
Full-text available
Recent research has shown that mixed-initiative conversational search, based on the interaction between users and computers to clarify and improve a query, provides enormous advantages. Nonetheless, incorporating additional information provided by the user from the conversation poses some challenges. In fact, further interactions could confuse the system as a user might use words irrelevant to the information need but crucial for correct sentence construction in the context of multi-turn conversations. To this aim, in this paper, we have collected two conversational keyword extraction datasets and propose an end-to-end document retrieval pipeline incorporating them. Furthermore, we study the performance of two neural keyword extraction models, namely, BERT and sequence to sequence, in terms of extraction accuracy and human annotation. Finally, we study the effect of keyword extraction on the end-to-end neural IR performance and show that our approach beats state-of-the-art IR models. We make the two datasets publicly available to foster research in this area.
... Kelima, memahami fungsi lingkungan hidup dan program yang dijalankan oleh masyarakat dan mencari solusi untuk menjaga lingkungan hidup Komunikasi lingkungan ini bisa dipublikasikan menggunakan media digital dengan mengoptimalisasi SEO. SEO adalah teknik yang memungkinkan situs web muncul di daftar hasil teratas dari mesin pencari dengan menggunakan kata kunci tertentu [6]. Penulisan release ke media online berbasis SEO dapat menimbulkan keterbacaan yang tinggi. ...
... Karena, dimungkinkan untuk memindahkan halaman web ke halaman pertama mesin pencari dengan hanya menggunakan beberapa aturan pengoptimalan yang diperlukan. SEO memungkinkan situs web muncul di daftar hasil teratas mesin pencari untuk beberapa kata kunci tertentu [6]. Maka, konten berbasis SEO ini dilakukan dengan analisis kata kunci untuk pengoptimalan. ...
Article
Full-text available
AbstrakKepedulian lingkungan menjadi nilai yang digerakkan di wilayah RW X Program Kampung Iklim Bhakti Persada Indah Semarang. Di wilayah ini pernah terjadi terjadi kebakaran lereng sisi utara RT 05 dan RT 09 pada tahun 2008 dan 2015 sehingga warga aktif melakukan beragam program lingkungan yang dikemas dalam Program Iklim Purwoyoso Kepedulian Lingkungan. Kepedulian lingkungan inilah yang menjadi konten publikasi agar dapat dicontoh wilayah lainnya. Namun, publikasi kegiatan hingga Maret 2020 masih berfokus pada publikasi media cetak saja sehingga jangkauannya kurang luas. Sedangkan publikasi secara online masih belum optimal dilakukan. Oleh karena itu, diperlukan pelatihan pemanfaatan SEO sebagai komunikasi online Program Kampung Iklim Bhakti Persada Indah Semarang. Hasil dari pengabdian masyarakat adalah penulisan release untuk berita online yang berdasarkan cara mengoptimalkan kata kunci di mesin pencari. SEO memungkinkan konten lingkungan dari Proklim Purwokeling sebagai publikasi online muncul di daftar hasil teratas mesin pencari. Pelatihan untuk memanfaatkan SEO sebagai komunikasi online Program Kampung Iklim Purwokeling Bhakti Persada Indah Semarang dengan membuat konten yang menarik dan tepat bisa semakin menarik masyarakat untuk lebih peduli dengan lingkungan dan menginspirasi melakukan hal yang sama demi keberlanjutan ekosistem Kata kunci: Pelatihan penulisan online, Program Kampung Iklim, Proklim Purwokeling BPI, Search Engine Optimization (SEO)
... Günümüzde internet kullanımının artması ile birlikte bilgiye ulaşma hızı da artmıştır. Bilgiye en hızlı ve kolay ulaşma yöntemi ise arama motorları olmaktadır (Yalçın ve Köse, 2010). Her internet kullanıcısının günde en az bir defa dahi olsa arama motorunu kullandığı göz önüne alınırsa bilgi kirliliğinin oldukça yüksek olduğu veri ortamında, aranan bilgiye doğru ve hızlı şekilde ulaşması önemli hale gelmiştir. ...
Conference Paper
Full-text available
Pipeline construction projects are uncontrollable and contains wide variety of uncertain and unexpected site conditions and it’s hard to finish project with estimated time and budget because of the permanent change of construction site. Considering the unstable conditions and project scope it’s hard to predict construction costs of pipeline projects. In this study, six ML techniques compared for predicting the construction cost of pipeline projects with a created test dataset For evaluation process, 10-fold cross validation is utilized to examine the predictive techniques. Clearly, the M5P model was found to be the best and the IBk was found to be the poorest performing techniques.
... 474 URL details of the web sites need to be recorded in the database of the search engines [6]. For this reason, it is important for web developers to implement this addition process and regularly update the site contents in order for the websites to get more visits [6,7]. The whole set of operations performed to ensure that websites are indexed in the search engines in the best way is called Search engine optimization (SEO) [8,9]. ...
... These edits may look like simple operations, but they have a significant impact on the site's search results. They may improve performance, but it should also be taken into account that they may reduce performance so, the edits need to be done carefully [6,7]. The web developers need to do a separate SEO work for each site since content and content presentation are different on each site. ...
... The web developers need to do a separate SEO work for each site since content and content presentation are different on each site. Moreover, the person performing the SEO process must be knowledgeable about the content posted on the web page, otherwise, the SEO process may cause the website to become a site that does not appeal to the target audience [7]. The SEO operations can be facilitated by designing the necessary processes automatically. ...
Preprint
Full-text available
It is now difficult to access desired information in the Internet world. Search engines are always trying to overcome this difficulty. However, web pages that cannot reach their target audience in search engines cannot become popular. For this reason, search engine optimization is done to increase the visibility in search engines. In this process, a few keywords are selected from the textual content added to the web page. A responsible person who is knowledgeable about the content and search engine optimization is required to determine these words. Otherwise, an effective optimization study cannot be obtained. In this study, the keyword extraction from textual data with latent semantic analysis technique was performed. The latent semantic analysis technique models the relations between documents/sentences and terms in the text using linear algebra. According to the similarity values of the terms in the resulting vector space, the words that best represent the text are listed. This allows people without knowledge of the SEO process and content to add content that complies with the SEO criteria. Thus, with this method, both financial expenses are reduced and the opportunity to reach the target audience of web pages is provided.
... Search engine optimization (SEO) [4,5] is, today, a well-established discipline, the goal of which is to highlight the quality of web pages and so improve their position in the results pages. This goal should not be achieved by fraudulent means, but depends rather on knowing how the algorithms that determine relevance operate, identifying the factors taken into account and, finally, optimizing these factors in one's documents. ...
Article
Full-text available
The visibility of academic articles or conference papers depends on their being easily found in academic search engines, above all in Google Scholar. To enhance this visibility, search engine optimization (SEO) has been applied in recent years to academic search engines in order to optimize documents and, thereby, ensure they are better ranked in search pages (i.e., academic search engine optimization or ASEO). To achieve this degree of optimization, we first need to further our understanding of Google Scholar’s relevance ranking algorithm, so that, based on this knowledge, we can highlight or improve those characteristics that academic documents already present and which are taken into account by the algorithm. This study seeks to advance our knowledge in this line of research by determining whether the language in which a document is published is a positioning factor in the Google Scholar relevance ranking algorithm. Here, we employ a reverse engineering research methodology based on a statistical analysis that uses Spearman’s correlation coefficient. The results obtained point to a bias in multilingual searches conducted in Google Scholar with documents published in languages other than in English being systematically relegated to positions that make them virtually invisible. This finding has important repercussions, both for conducting searches and for optimizing positioning in Google Scholar, being especially critical for articles on subjects that are expressed in the same way in English and other languages, the case, for example, of trademarks, chemical compounds, industrial products, acronyms, drugs, diseases, etc.
... In this work, internal website optimization was considered as an element of study. It included the design of website, keywords, and meta tags, which are essential for website itself, page names, links, photos, content texts on each page, and really-simple-syndication (RSS) feeds [68]. ...
Article
Full-text available
The agricultural industry is highly underdeveloped and requires transformation in technology for food safety and reliability. A digital world is relying on blockchain technology for the successful implementation of sustainable e-agricultural supply chain management (e-Agri-SCM). In current advancements of blockchain in digital marketing, product website design (web design) is essential to streamline the requirements of the customer and the expectations of supply chain partners. The current research has incorporated the blockchain effect by web design elements into the agricultural supply chain management (Agri-SCM) study. In addition, partners in the digital marketing supply chain (DM-SCM) are also facing issues to identify significant web design elements-based blockchain technology to gain maximum profit. Therefore, a cooperative (Co-op) sustainable e-agricultural SCM model is developed in this study by considering the web design index and variable demand to decide shipments, selling price, cycle time, and advertisement cost for agriculture products. The uncertainties in the model due to intangible web design elements and basic costs are dealt with by the application of the fuzzy system whereas carbon emission is also considered for providing cleaner production. A real-time application of the proposed model is done by undertaking five different cases based on mutual share, demand curve, and advertisement budget among participants. The sensitivity analysis is also performed to identify important factors of the total profit. Findings of this work include significant web design elements (WDEs) i.e., web graphics, search engine optimization, cyber-security, fast loading, and navigation, as essentials for digital marketing to convince customers towards the product in a global SCM. The numerical results and managerial insights are advantageous for managers to get maximum profit by cooperative and digital marketing strategies to attain e-Agri-SCM.
... O termo Search Engine Optimization (SEO) descreve um conjunto de estratégias que visa tornar seu site melhor classificado por buscadores, fazendo com que ele apareça entre os primeiros resultados das buscas. Dificilmente usuários passam da quinta página de resultados quando querem encontrar uma informação, por issoé importante se atentar a isso (Yalçın, 2010). ...
Thesis
Full-text available
Diversas pesquisas apontam o alto interesse dos brasileiros por ciência e tecnologia e o crescimento da procura de informações destes temas em mídias sociais como blogs. Técnicas de otimização para motores de busca podem ser utilizadas para melhorar o ranqueamento destes blogs, mas para ir além deve ser possível adequar o conteúdo de forma que ele se torne mais atrativo ao público. Para isso fiz uma análise exploratória de uma base de dados de textos de divulgação científica, tentando descobrir características dos textos que façam com que eles tenham mais ou menos visualizações, e uma análise preditiva que, com base nessas características e métodos de aprendizado de máquina, visa prever quantas visualizações um texto terá depois de publicado. Este projeto é relevante pois pode auxiliar divulgadores científicos a adequarem seus textos de forma a maximizar o número de visualizações, contribuindo ainda mais para a difusão da ciência. Apesar deste trabalho possuir algumas limitações, como o uso de apenas 145 textos na análise, sendo todos de um mesmo blog, o que pode enviesar os resultados, ainda foi possível obter indicativos que podem ser úteis. Os resultados indicaram algumas características que tendem a aumentar o número de visualizações dos textos, tais como: serem sobre física, serem mais referenciados por outros textos, terem uma pergunta no título e fazerem uso de analogias. Outras características tiveram uma influência negativa no número de visualizações dos textos: serem sobre história ou biologia, terem parágrafos mais extensos e com um maior número de palavras. Já na análise preditiva, utilizei a base de dados original, além de duas outras, uma reescalada com valores entre zero e um e uma normalizada. As bases passaram por múltiplas reduções de dimensionalidade, retirada de outliers e de atributos com pouquíssima variabilidade, então foram utilizadas em cinco métodos de aprendizado de máquina: Random Forest Regressor, SVM Regressor, Regressão Linear, Multi-layer Perceptron e KNeighbors, cada um deles com os melhores parâmetros selecionados via Grid Search. A avaliação dos modelos se deu pelo R2 Score e pelo erro médio de predição e o melhor desempenho alcançado foi com uma Regressão Linear, com o R2 Score chegando a 0.40 e erro médio de 98%.