An Evaluation of the Impact of Keyword Frequency on Keyword Prominence

2018 ◽  
Vol 8 (3) ◽  
pp. 52-70
Author(s):  
Edwin Mwosa Kivuti
Keyword(s):  
Search Engine ◽  
Information Search ◽  
Online Marketing ◽  
The Internet ◽  
Web Pages ◽  
Search Engine Optimization ◽  
Search For Information ◽  
The Impact ◽  
Web Developers

This article describes how search engine optimization(SEO) is becoming an increasing useful technique in online marketing as more people look to the internet to search for information. Search Engine Optimization enables web developers to develop web pages which have a high SERP rankings. A key technique in SEO is through improving the keyword prominence of keywords. In this research, keywords within web pages are extracted, and the correlation between the frequency of these words and their keyword prominence is evaluated. The findings of this research will provide a guideline to SEO practitioners, in that they will have a better understanding of the ratio of keywords they need in to add to web pages in relation to the rest of the content.

Theory and Practice of Search Engine Optimization

2021 ◽  
pp. 1354-1367
Author(s):  
Dimitrios Giomelakis ◽  
Andreas Veglis
Keyword(s):  
Search Engine ◽  
Information Search ◽  
Search Engines ◽  
Web Search ◽  
Theory And Practice ◽  
Basic Knowledge ◽  
The Internet ◽  
Web Content ◽  
Search Engine Optimization ◽  
Different Characteristics

The extensive range of information resources and services is certainly one of the most important features of the internet while at the same time, web search is considered as a crucial application for managing the massive volumes of distributed web content. Beyond argument, search engines have made an enormous contribution to the web by making the process of finding information online a very quick and easy process. This chapter provides an overview of Search Engine Optimization, with a focus on its different characteristics and practices as well its history and how it has evolved over the years. In order to give a better understanding of the importance of SEO in the current state of the Internet and in information search, basic knowledge of how search engines operate along with their recent updates are also provided.

Standards of use and search for information on Internet addiction / Patrones de uso y búsqueda de información sobre adicciones en Internet

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Mª del Carmen Segura Díez ◽  
José A. García del Castillo ◽  
Carmen López-Sánchez
Keyword(s):  
Pilot Study ◽  
University Students ◽  
Internet Addiction ◽  
Information Search ◽  
The Internet ◽  
Web Pages ◽  
Web Resources ◽  
Internet Users ◽  
Level Of Satisfaction ◽  
Search For Information

Este trabajo expone los resultados de un estudio piloto, que tiene como objetivos el análisis de las páginas web de ámbito nacional que ofrecen información sobre adicciones y por otro lado, el estudio de los patrones de uso de estas páginas, por parte de los internautas a través del cuestionario INDEXA. Se han analizado hasta el momento 203 recursos web españoles en materia de adicciones y se ha encuestado a 394 sujetos (pertenecientes a población universitaria) sobre sus hábitos en el uso de Internet como fuente de información sobre adicciones. Los resultados indican que la mayor parte de recursos web en adicciones pertenecen al ámbito asociativo (33%), con un enfoque centrado en el tratamiento (22%) y un abordaje generalista cuando se trata de ofrecer información sobre sustancias adictivas o adicciones. Las sustancias más tratadas en los contenidos de las webs son el tabaco (41%) y el alcohol (38%). Los resultados del cuestionario INDEXA muestran que el 84% de los internautas encuestados se consideraban bien informados sobre adicciones y el 64% había buscado o recibido información sobre el tema en el último año. El nivel de satisfacción con las webs sobre adicciones es bueno (67%) y sus consultas se centran en la búsqueda de información sobre una sustancia en concreto, que suele ser el alcohol (15%) seguido a más distancia del cannabis (13,18%) y el tabaco (11%).  Abstract This paper shows the results of a pilot study on the analysis of web pages in Spain containing information about addictions. We also analyze in which ways internet users utilize such pages through the test INDEXA. We have analyzed, so far, 203 Spanish web resources on addictions and surveyed 294 university students about their usage of the Internet for informational purposes on addictions. Results indicate that the most part of web resources in addictions belong to associations (33%), with an approach centered in the treatment (22%) and a general approach when one is to offer information on addictive substances or addictions. The most mentioned substances in the contents of websites are the tobacco (41%) and the alcohol (38%). Results of the questionnaire INDEXA show that 84% of internet users were considered well informed on addictions and 64% had looked for or received information on the topic in the latest year. The level of satisfaction with websites on addictions is good (67%) their questions concentrate in the information search on a substance in particular, that usually is the alcohol (15%) followed more distance of the cannabis (13.18%) and the tobacco (11%).

Best Practices in Search User Interface Design

2002 ◽  
Vol 46 (5) ◽  
pp. 627-631
Author(s):  
Marc L. Resnick ◽  
Jennifer Bandos
Keyword(s):  
User Interface ◽  
Best Practices ◽  
Search Engine ◽  
Information Search ◽  
Interface Design ◽  
World Wide ◽  
Web Pages ◽  
Needed Information ◽  
The World ◽  
Search For Information

The Internet has become a powerful tool for information search and ecommerce. Millions of people use the World Wide Web on a regular basis and the number is increasing rapidly. For many common tasks, users first need to locate a Web site(s) containing needed information from among the estimated 4 trillion existing web pages. The most common method used to search for information is the search engine. However, even sophisticated users often have difficulty navigating through the complexity of search engine interfaces. Designing more effective and efficient search engines is contingent upon a significant improvement in the search user interface.

scholarly journals Big Data Analytics for Search Engine Optimization

2020 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
Ioannis C. Drivas ◽  
Damianos P. Sakas ◽  
Georgios A. Giannakopoulos ◽  
Daphne Kyriaki-Manessi
Keyword(s):  
Big Data ◽  
Cultural Heritage ◽  
Search Engine ◽  
Data Analytics ◽  
User Behavior ◽  
Big Data Analytics ◽  
Data Types ◽  
Search Engine Optimization ◽  
The Impact ◽  
The Web

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

Internet marketing tool – SEO-optimization of the enterprise site

2021 ◽  
pp. 84-89
Author(s):  
Ihor Ponomarenko ◽  
Alina Sapian
Keyword(s):  
Search Engine ◽  
Research Methodology ◽  
Internet Marketing ◽  
Target Audience ◽  
Digital Marketing ◽  
The Internet ◽  
Digital Environment ◽  
Important Place ◽  
Search Engine Optimization ◽  
Web Resource

The purpose of this article is to consider issues related to the peculiarities of the use of search engine optimization in the implementation of a comprehensive marketing strategy in the digital environment. Research methodology. The research methodology is system-structural and comparative analyzes (to study the application of search engine optimization in the process of improving the efficiency of the company on the Internet); monograph (the study of various software solutions in the field of digital marketing); eco- nomic analysis (when assessing the effectiveness of the use of SEO in the process of attracting the target audience and its impact on the growth of conversions). The scientific novelty – features of using search engine optimization as an effective tool of digital marketing in modern conditions are revealed. The expediency of using SEO to increase the level of competitiveness of the company on the Internet is proved. A set of Internet marketing measures to strengthen the company’s communications with the target audience in the digital environment is revealed, as well as the role in this structure of search engine optimization is outlined. The expediency of building a semantic core as a basic element of search engine optimization of a company’s web resource and creating preconditions for long-term provision of high positions of the site in search services is proved. The subject of the research is the approach to the possibility of using search engine optimization methods in modern conditions to ensure a highly competitive position of the company and its web resources in the digital space in the long period. Conclusions. The digitalization of business leads to the intensification of the use of various digital marketing tools, among which search engine optimization occupies an important place. SEO-optimization of the company’s website involves the implementation of a set of measures aimed at increasing the place of the re- source in search results. Innovative approaches make it possible to integrate an up-to-date keyword list into important elements of a company’s web resource and to constantly update libraries in order to ensure high search engine rankings. Keywords: audience, Internet marketing, search engine optimization, site, targeted traffic.

scholarly journals Digital hajj: the pilgrimage to Mecca in Muslim cyberspace and the issue of religious online authority

2013 ◽  
Vol 25 ◽  
pp. 189-203 ◽  
Author(s):  
Dominik Schlosser
Keyword(s):  
Search Engine ◽  
The Internet ◽  
Web Pages ◽  
Religious Authority ◽  
Liminal Space ◽  
Online Presence ◽  
Optimisation Techniques

This paper attempts to give an overview of the different representations of the pilgrimage to Mecca found in the ‘liminal space’ of the internet. For that purpose, it examines a handful of emblematic examples of how the hajj is being presented and discussed in cyberspace. Thereby, special attention shall be paid to the question of how far issues of religious authority are manifest on these websites, whether the content providers of web pages appoint themselves as authorities by scrutinizing established views of the fifth pillar of Islam, or if they upload already printed texts onto their sites in order to reiterate normative notions of the pilgrimage to Mecca, or of they make use of search engine optimisation techniques, thus heightening the very visibility of their online presence and increasing the possibility of becoming authoritative in shaping internet surfers’ perceptions of the hajj.

scholarly journals PENERAPAN SEO (SEARCH ENGINE OPTIMIZATION) MENGGUNAKAN TEKNIK TOGETHER IN A SINGLE CONNECTION (TSC) DALAM MENINGKATKAN KUNJUNGAN PADA SEBUAH BLOG

Compiler ◽  
2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Devia Tito Setyaningsih ◽  
Hero Wintolo ◽  
Dwi Nugraheny
Keyword(s):  
Parallel Processing ◽  
Programming Languages ◽  
Search Engine ◽  
The Internet ◽  
Internet Service ◽  
Traffic System ◽  
Search Engine Optimization ◽  
The People ◽  
Processing Techniques ◽  
Text Images

One of the internet service used by the people of Indonesia is a blog that can be accessed via http://blogspot.com or http://wordpress.com and others. Everyone can use this medium for the purpose of publication of information in the form of text, images, sounds, or video without having to master web programming languages. One of the obstacles a person who has a blog is a way of increasing number of visitors to his blog. In order for many visitors the blog owner needs to understand about SEO (Search Engine Optimization).To allow users to blog in increasing the number of visitors and ranking his blog, they invented a system that utilizes parallel processing techniques and create a new method, named TSC (Together in a Single Connection) to increase the number of visitors, number of pages viewed and ranking.Increase blog traffic system based on parallel processing can improve the effectiveness in increasing traffic to a blog. With this system the blog owner is expected to be easier to rise to visit his blog.

scholarly journals Perilaku Pencarian Informasi Generasi milenial untuk Memenuhi Kebutuhan Informasi Mahasiswa Universitas Negeri Padang

2019 ◽  
Vol 8 (1) ◽  
pp. 562
Author(s):  
Yuni Rahmah ◽  
Elva Rahmah
Keyword(s):  
Search Engine ◽  
Information Search ◽  
Information Seeking ◽  
Millennial Generation ◽  
Information Needs ◽  
Information Source ◽  
The Internet ◽  
State University ◽  
Google Search ◽  
Source Of Information

AbstractIn this paper the language about Millennial Generation Information Search Behavior To Meet Information Needs. This study aims to describe the information seeking behavior of the millennial generation to meet the information needs of this study at the Padang State University. Data were collected through observation and distribution of questionnaires with students of the Indonesian and Regional Languages and Literature Department at Padang State University. Analyzing the data, concluded the following matters. (1). Starting - consists of activities that initiate information seeking activities. In general (100%) determine the topic especially before conducting an information search, in general (90%) conduct information search after discussion or consultation with lecturers, in general (95.23%) know the information needs when attending lectures, (88.4 %) know the information needs specifically, and in general (88%) do information when they are aware of and know the need for information. (2). Chaining - activities following a series of citations, citations or forms of reconciliation between documents with each other. In general (92.8 uses a bibliography to search information, generally (90.4%) use the author's name from the core reference to look for other references in conducting information searches, and in general (92.9%) use subjects from core reference to look for other references (3) Browsing - merawak, looking for, but rather directed, in areas that are considered to have the potential for the information needed.In general (73%) libraries can always meet information needs, in general In general (95.2%) look for information on the internet if the information you are looking for is not found in the printed source of information, (92.8%) generally directly looking for information on the internet if the information you need is not found in the printed source of information, at generally (45.22%) query identification (keywords). (4). Differentiating - sorting, using the features in the information source as a basic reference for checking quality or information content. in general (88%) the internet is the main source of information, in general (92.84%) The source of information printed is still very much needed in fulfilling information needs. (5). Monitoring - monitoring progress by focusing on selected sources. In general (88.09%) looked for the latest information through the internet by searching for the latest articles, in general (78.56%) needed to find the latest information to enrich the reference sources. (6). Extracting - systematically digging in one source to retrieve information that is considered important. In general (90.47 when you need information you often search the search engine (google, yahoo), in general (88.09 often uses a journal database to get information, in general (78.56%) after getting information on the internet , you directly copy the information, in general (76.19%) use the "Google" search engine because it is more relevant than other search engines.Keywords: behavior, millennial generation and information.

Review of Link Structure Based Ranking Algorithms and Hanging Pages

2016 ◽  
pp. 420-459 ◽  
Author(s):  
Ravi P. Kumar ◽  
Ashutosh K. Singh ◽  
Anand Mohan
Keyword(s):  
Search Engine ◽  
Web Sites ◽  
Cyber Security ◽  
Web Security ◽  
Optimization Techniques ◽  
Web Pages ◽  
Link Structure ◽  
Search Engine Optimization ◽  
Ranking Algorithms ◽  
The Web

In this era of Web computing, Cyber Security is very important as more and more data is moving into the Web. Some data are confidential and important. There are many threats for the data in the Web. Some of the basic threats can be addressed by designing the Web sites properly using Search Engine Optimization techniques. One such threat is the hanging page which gives room for link spamming. This chapter addresses the issues caused by hanging pages in Web computing. This Chapter has four important objectives. They are 1) Compare and review the different types of link structure based ranking algorithms in ranking Web pages. PageRank is used as the base algorithm throughout this Chapter. 2) Study on hanging pages, explore the effects of hanging pages in Web security and compare the existing methods to handle hanging pages. 3) Study on Link spam and explore the effect of hanging pages in link spam contribution and 4) Study on Search Engine Optimization (SEO) / Web Site Optimization (WSO) and explore the effect of hanging pages in Search Engine Optimization (SEO).

An Intelligent Web Search Using Multi-Document Summarization

2016 ◽  
Vol 6 (2) ◽  
pp. 41-65 ◽  
Author(s):  
Sheetal A. Takale ◽  
Prakash J. Kulkarni ◽  
Sahil K. Shah
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Document Clustering ◽  
The Internet ◽  
Web Pages ◽  
Extractive Summarization ◽  
Text Understanding ◽  
User Query ◽  
Sentence Clustering

Information available on the internet is huge, diverse and dynamic. Current Search Engine is doing the task of intelligent help to the users of the internet. For a query, it provides a listing of best matching or relevant web pages. However, information for the query is often spread across multiple pages which are returned by the search engine. This degrades the quality of search results. So, the search engines are drowning in information, but starving for knowledge. Here, we present a query focused extractive summarization of search engine results. We propose a two level summarization process: identification of relevant theme clusters, and selection of top ranking sentences to form summarized result for user query. A new approach to semantic similarity computation using semantic roles and semantic meaning is proposed. Document clustering is effectively achieved by application of MDL principle and sentence clustering and ranking is done by using SNMF. Experiments conducted demonstrate the effectiveness of system in semantic text understanding, document clustering and summarization.

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