Thematische Bibliographien / Ranking of websites

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  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Ranking of websites“

Autor: Grafiati
Veröffentlicht am 3. Juni 2025
Zuletzt aktualisiert am 19. Juli 2025

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Zeitschriftenartikel zum Thema "Ranking of websites"

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Ziakis, Christos, Maro Vlachopoulou, Theodosios Kyrkoudis, and Makrina Karagkiozidou. "Important Factors for Improving Google Search Rank." Future Internet 11, no. 2 (2019): 32. http://dx.doi.org/10.3390/fi11020032.

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The World Wide Web has become an essential modern tool for people’s daily routine. The fact that it is a convenient means for communication and information search has made it extremely popular. This fact led companies to start using online advertising by creating corporate websites. With the rapid increase in the number of websites, search engines had to come up with a solution of algorithms and programs to qualify the results of a search and provide the users with relevant content to their search. On the other side, developers, in pursuit of the highest rankings in the search engine result pages (SERPs), began to study and observe how search engines work and which factors contribute to higher rankings. The knowledge that has been extracted constituted the base for the creation of the profession of Search Engine Optimization (SEO). This paper consists of two parts. The first part aims to perform a literature review of the factors that affect the ranking of websites in the SERPs and to highlight the top factors that contribute to better ranking. To achieve this goal, a collection and analysis of academic papers was conducted. According to our research, 24 website characteristics came up as factors affecting any website’s ranking, with the most references mentioning quality and quantity of backlinks, social media support, keyword in title tag, website structure, website size, loading time, domain age, and keyword density. The second part consists of our research which was conducted manually using the phrases “hotel Athens”, “email marketing”, and “casual shoes”. For each one of these keywords, the first 15 Google results were examined considering the factors found in the literature review. For the measurement of the significance of each factor, the Spearman correlation was calculated and every factor was compared with the ranking of the results individually. The findings of the research showed us that the top factors that contribute to higher rankings are the existence of website SSL certificate as well as keyword in URL, the quantity of backlinks pointing to a website, the text length, and the domain age, which is not perfectly aligned with what the literature review showed us.
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Eck, Nees Jan van, and Ludo Waltman. "Analyzing the activities of visitors of the Leiden Ranking website." Journal of Data and Information Science 3, no. 3 (2018): 81–98. http://dx.doi.org/10.2478/jdis-2018-0015.

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Abstract Purpose To get a better understanding of the way in which university rankings are used. Design/methodology/approach Detailed analysis of the activities of visitors of the website of the CWTS Leiden Ranking. Findings Visitors of the Leiden Ranking website originate disproportionally from specific countries. They are more interested in impact indicators than in collaboration indicators, while they are about equally interested in size-dependent indicators and size-independent indicators. Many visitors do not seem to realize that they should decide themselves which criterion they consider most appropriate for ranking universities. Research limitations The analysis is restricted to the website of a single university ranking. Moreover, the analysis does not provide any detailed insights into the motivations of visitors of university ranking websites. Practical implications The Leiden Ranking website may need to be improved in order to make more clear to visitors that they should decide themselves which criterion they want to use for ranking universities. Originality/value This is the first analysis of the activities of visitors of a university ranking website.
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Roumeliotis, Konstantinos I., and Nikolaos D. Tselikas. "A Machine Learning Python-Based Search Engine Optimization Audit Software." Informatics 10, no. 3 (2023): 68. http://dx.doi.org/10.3390/informatics10030068.

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In the present-day digital landscape, websites have increasingly relied on digital marketing practices, notably search engine optimization (SEO), as a vital component in promoting sustainable growth. The traffic a website receives directly determines its development and success. As such, website owners frequently engage the services of SEO experts to enhance their website’s visibility and increase traffic. These specialists employ premium SEO audit tools that crawl the website’s source code to identify structural changes necessary to comply with specific ranking criteria, commonly called SEO factors. Working collaboratively with developers, SEO specialists implement technical changes to the source code and await the results. The cost of purchasing premium SEO audit tools or hiring an SEO specialist typically ranges in the thousands of dollars per year. Against this backdrop, this research endeavors to provide an open-source Python-based Machine Learning SEO software tool to the general public, catering to the needs of both website owners and SEO specialists. The tool analyzes the top-ranking websites for a given search term, assessing their on-page and off-page SEO strategies, and provides recommendations to enhance a website’s performance to surpass its competition. The tool yields remarkable results, boosting average daily organic traffic from 10 to 143 visitors.
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Bao, Ying, Guang Feng, Tie-Yan Liu, Zhi-Ming Ma, and Ying Wang. "Ranking Websites: A Probabilistic View." Internet Mathematics 3, no. 3 (2006): 295–320. http://dx.doi.org/10.1080/15427951.2006.10129125.

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Khan, Arif, and Haroon Idrees. "Calculating Web impact factor for university websites of Pakistan." Electronic Library 33, no. 5 (2015): 883–95. http://dx.doi.org/10.1108/el-01-2014-0022.

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Purpose – This study aims to explore the Web impact factors (WIFs) for websites of Pakistani universities. The paper discusses why revised Web impact factor (RWIF) is more meaningful than simple WIF. The study also attempts to rank the top-five websites of Pakistani universities by considering four different website ranking systems and compares the WIFs of university websites of other developing countries as well. Design/methodology/approach – This study calculates the RWIF for subject websites using two webometric tools. Open Site Explorer service (i.e. Developer Shed) and two commercial search engines, i.e. Google and Bing, were used to collect the data for examining the RWIF for subject websites. Findings – Collectively 41,960 web pages and 49,740 inlinks were found in top-ten Pakistani universities’ websites. The collective RWIF for subject websites comes to 1.185, which is at the top in comparison with other developing countries, i.e. India, Bangladesh, Sri Lanka and Indonesia. Originality/value – Calculating WIF for university websites in Pakistan and presenting the comparison with other types of website ranking system is a kind of first study conducted for Pakistani library websites. The study also presents alternate search strategy for data collection to calculate RWIF for websites.
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Ayu, Media Anugerah, and Mohamed Ahmed Elgharabawy. "Effects of Web Accessibility on Search Engines and Webometrics Ranking." International Journal of Mobile Computing and Multimedia Communications 5, no. 1 (2013): 69–94. http://dx.doi.org/10.4018/jmcmc.2013010106.

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Previous researches have highlighted the importance of web accessibility of a website. Its importance has made the W3C (World Wide Web Consortium) come up with Web Content Accessibility Guidelines (WCAG) as a guideline for developing an accessible website. Amongst websites available in the web wide world, many of them are fall under the education institution website category. These education institution websites are mostly the first door that people will go to visit to get information about education services and courses provided by the institution. Thus, to be accessible is an essential issue for these websites. Another issue that gets much attention in the current competitive internet world is to be visible by popular search engines and ranked at their top lists. For higher learning institutions there is an online ranking that they like to be in the top list, i.e. Webometrics. This paper attempts to address those two issues of web accessibility and being at the top list. It presents a study that investigates whether web accessibility has a contributing effect to ranking position in Webometrics and popular search engines. The research covers websites from higher learning institutions and education domains. Three popular search engines are used in this research, i.e. Google, Yahoo! and Bing. The study produces interesting results that would be useful as a guide for higher learning institutions that want to improve their online ranking.
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Giannakoulopoulos, Andreas, Nikos Konstantinou, Dimitris Koutsompolis, Minas Pergantis, and Iraklis Varlamis. "Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?" Future Internet 11, no. 11 (2019): 242. http://dx.doi.org/10.3390/fi11110242.

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The academic excellence of universities around the globe has always been a matter of extended study and so has the quality of an institution’s presence in the World Wide Web. The purpose of this research is to study the extent to which a university’s academic excellence is related to the quality of its web presence. In order to achieve this, a method was devised that quantified the website quality and search engine optimization (SEO) performance of the university websites of the top 100 universities in the Academic Ranking of World Universities (ARWU) Shanghai list. A variety of tools was employed to measure and test each website and produced a Web quality ranking, an SEO performance ranking, as well as a combined overall web ranking for each one. Comparing these rankings with the ARWU shows that academic excellence is moderately correlated with website quality, but SEO performance is not. Moreover, the overall web ranking also shows a moderate correlation with ARWU which seems to be positively influenced by website quality and negatively by SEO performance. Conclusively, the results of the research indicate that universities place particular emphasis on issues concerning website quality, while the utilization of SEO does not appear to be of equal importance, indicating possible room for improvement in this area.
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Sharma, Dheeraj, Praveen Ranjan Srivastava, Peeyush Pandey, and Inderjeet Kaur. "Evaluating Quality of Matrimonial Websites: Balancing Emotions with Economics." American Business Review 23, no. 2 (2020): 358–92. http://dx.doi.org/10.37625/abr.23.2.358-392.

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There are a plethora of studies evaluating the quality of websites on functional and design-related aspects such as usability and visual parameters. The majority of these studies are related to e-commerce websites where individuals make decision largely relying on economic parameters. However, matrimonial websites are unique, as the decisions involve both economic and non-economic parameters. Therefore, this study aims to propose a framework to evaluate quality of matrimonial websites by incorporating contextual factors and examine differences among different groups of users. This study proffers a website evaluating framework considering non-economic and emotion based factors from the information systems (IS) success model and the search match interaction (SMI) framework. The study proposes a hybrid model of multi-criteria decision-making techniques—namely Fuzzy-AHP and ranking models such as evaluation based on distance from average solution (EDAS), technique for order of preference by similarity to ideal solution (TOPSIS), and complex proportional assessment (COPRAS). The results indicate that the context-specific factors related to search and matchmaking options are the most preferred parameters for evaluation. Males and females have been found to differ in their preferences related to service quality and price. Next, the study compares the performance of three ranking models, namely EDAS, TOPSIS, and COPRAS. The first and second models provide similar results, while the rankings obtained through COPRAS differ slightly. The study contributes towards website evaluation literature by highlighting the importance of contextual factors while evaluating the matrimonial websites and the differences among preferences of the users.
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M Moskovkin, Vladimir, Munenge Sizyoongo, He Zhang, and Marina V Sadovski. "Structures of THE, QS and ARWU Top 100 universities’ websites in different languages and social media accounts: Binary matrix approach." Malaysian Journal of Library & Information Science 26, no. 2 (2021): 37–67. http://dx.doi.org/10.22452/mjlis.vol26no2.3.

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The aim of the study is to understand how the diversity of university language websites and social networks influence the universities’ reputation in the World University Rankings and how this diversity can be described. Combining the union of sets of university names in Times Higher Education (THE), QS World University Ranking (QS), and Academic Ranking of World Universities (ARWU) 2018, the World’s Top 100 Universities Rankings enabled us to obtain a set of 146 universities. From October 18, 2018, through November 1, 2018, the availability of website versions in different languages and social media applications was checked. The study enabled a 146x15 binary matrix to be built in the first case, and a 146x21 one in the second, with 15 meaning the number of website versions in foreign languages, and 21 standing for respective number of various social media accounts. The binary matrices were clustered with a view to obtaining dense submatrices consisting of units only. The study shows that approximately 47 percent of the universities surveyed have their websites in more than one language. All the 146 universities have websites in English, those in Chinese coming second and equalling to 21. Most popular social networking sites have been revealed, with over 84 percent of universities having Facebook, Twitter, YouTube and Instagram accounts. On the whole, 18 universities form a dense binary submatrix for 6 social media, including four of the above, as well as LinkedIn and Google+. The binary matrices are proved to be effective for higher education managers and experts focusing on specific regions and social media. Correlational dependence calculations on comparative analysis of traditional and altmetrics rankings are also performed.
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Zahra, Khoram Amir Jamshidnezhad* Nazanin Tamoradi. "EVALUATION OF AHVAZ JUNDISHAPUR UNIVERSITY OF MEDICAL SCIENCES RANKING IN IRAN, MIDDLE EAST AND NEIGHBORING COUNTRIES IN 2016, A WEBOMETRICS ANALYSIS." Indo American Journal of Pharmaceutical Sciences 04, no. 10 (2017): 3895–906. https://doi.org/10.5281/zenodo.1035235.

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University websites are of great importance to show the scientific activities of academic institutions. Qualitative and quantitative promotion of these websites, enhances the chance of recovery and visibility of medical universities in the cyber world. Ranking of Webometrics represents the degree of annual scientific activities appeared in universities website. In this study, four indicators including Size, Visibility, Richfiles and Google scholars indexing as the main indicators of Webometrics were analyzed in the Ahvaz Jundishapur University of Medical Scinces website. Moreover, it was evaluated in comparison with websites of other top medical universities in Iran, middle east and Iran neighboring countries. The results showed that in terms of Webometrics ranking, Lomonosov Moscow State University of Russia, King of Saudi Arabia, Tehran University of Medical Sciences, and Shahid Beheshti of Tehran were ranked first to fifth respectively. Evaluation of Ahvaz University of Medical Sciences based on the indicators showed that this site has not been successful in most of these indicators. The information provided on the web pages was not attractive at the international level. Moreover, weakness of the site in terms of Search Engine Optimization (SEO), English language of the content as well as few number of English web pages and backlinks for the university website were identified. Keywords: Webometrics, Ranking of websites, Search engines, University visibility, Ahvaz Jundishapur University of Medical Sciences
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Dissertationen zum Thema "Ranking of websites"

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Li, Jiyi. "A Study on Image Retrieval in Social Image Hosting Websites." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180474.

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Morad, Abadi Omid. "The role of rankings in the marketing undertaken by universities through their institutional websites." Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/458691.

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Los rankings de universidades se han popularizado y representan un tema de estudio emergente (Hazelkorn, 2011; Dill, 2005; Albach, 2012; Tomàs Folch & Castro,2015). Por ello este estudio trata de estudiar el papel de los rankings en la estrategia de marketing de cuatro universidades catalanas metropolitanas y cómo las universidades implementan su posición internacional a través de su página web para responder a las preguntas: • ¿De qué manera las universidades utilizan su posición en los rankings en las estrategias de marketing para competir mejor? • ¿De qué manera las cuatro universidades catalanas ponen de relieve sus posiciones en los rankings a través de su página web oficial? El objetivo general de este estudio es averiguar el papel de su posición en los rankings a través de su sitio web oficial para destacar sus imágenes entre otras universidades, como los instrumentos principales para competir en los mercados globales. La metodología de este estudio es mixta: una combinación de estudio cualitativo y cuantitativo. Se trata de estudiar el papel de los rankings en la estrategia de marketing de la universidad catalana y cómo las universidades implementan su posición internacional. Para ello se han elaborado tres instrumentos: una pauta de análisis de la web, una entrevista semiestructurada a agentes implicados en la gestión de marketing de las cuatro universidades catalanas y un cuestionario dirigido a 558 estudiantes de terceros ciclo: Máster y Doctorado. Los resultados muestran que la mayoría de los estudiantes han seleccionado su universidad en función de la posición del ranking de cada una de ellas. Como consecuencia las universidades que tienen mejor posición en los rankings podrían atraer los mejores estudiantes. Además, las universidades que tienen la página web con mejor diseño y más visibilidad de los rankings podrían atraer y conseguir más estudiantes e investigadores que otras universidades con peor posición en los rankings. Sin embargo se observan diferencias entre la importancia que le dan los estudiantes de Máster y los de Doctorado siendo estos últimos los que le dan mayor importancia a la posición de los rankings a la hora de elegir su universidad. En síntesis se ha llegado a la conclusión que actualmente el ranking tiene un papel muy importante en las universidades y ello implica mayor competencia entre ellas. El ranking proporciona información al público, los estudiantes, investigadores y usuarios en general. Por ello las estrategias de marketing tales como el diseño e inclusión de la posición del ranking de una universidad en su página web cobran un papel importantísimo en la gestión universitaria.<br>University rankings have become more popular and represents an emergent topic (Hazelkorn, 2011; Dill, 2005; Albach, 2012; Tomàs Folch & Castro,2015) .Consequently, this research study the role of rankings in the marketing strategy four metropolitan Catalan universities and how this universities apply their international positions through their official webpage for answering this questions: • How do these Catalan universities use their rankings positions in their marketing strategies for better competing? • What are the outcomes for the 4 mentioned Catalan universities, by highlighting their rankings positions through their official website? General objective of this study is to analyze, the role of rankings and to describe how effectively the website indicators such as: technical, marketing and rankings have been applied by those mentioned Catalan universities in their official website for burnishing their images among others as the main instruments for competing in the global markets. The methodology of this study is a mixed combination of both qualitative and quantitative methods. It is about studying the role of rankings in the marketing strategy of the mentioned Catalan university and how universities implement their international ranking position through their website for better presentation and manifestation. To do this, three instruments will be applied: a web analysis guideline, interviews with communication and promotion department of each Catalan universities and a questionnaire of 558 PhD and master students. The responses of majority of students show that most of the students have made their selection of their university, based on the rankings position. Universities with a better rankings position could attract more elite students. In addition, universities that have the web page with the best design and more notifications of rankings could attract and get more students and researchers than other universities. However, it is observable that the PhD students regarded the importance of rankings more than the Master students. Finally, according to the responses and interviews, it has been reached to this conclusion that now a day; rankings play a very important role between the universities. The ranking provides and manifest information to the public, students, elites, researchers. Therefore, the marketing strategies is involved with the design and rankings positions of the universities in their webpage which play a very important role in the university management.
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Carlquist, Olle, and Leijon Santos Boström. "Implikat : A System for Categorizing Products using Implicit Feedback on a Website." Thesis, KTH, Data- och elektroteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146667.

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Implicit feedback is a form a relevance feedback that is inferred from how users interact with an information retrieval system such as an online search engine. This degree project report describes a method of using implicit feedback to establish relevance judgments and rank products based on their relevance to a specified attribute. The report contains an overview of the benefits and limitations of implicit feedback, as well as a description on how those limitations can be mitigated. A prototype that interpreted user actions as relevance votes and calculat-ed a fair relevance score based on these votes with the help of an algo-rithm was developed. This system was then tested on a website with real users during a limited period of time. The results from the test period were evaluated and the system was concluded to be far from perfect, but that improvements could be made by making adjustments to the algo-rithm. The system performed better when looking at the algorithm’s pre-cision rather than its sensitivity.<br>Implicit feedback är en sorts relevansfeedback som sammanställs utifrån användares interaktion med ett informationsökningsssystem. Denna examensarbetesrapport beskriver ett sätt att använda implicit feedback för att skapa en bedömning av en produkts relevans till ett angivet attribut. Rapporten innehåller också en överblick av fördelarna och nackdelarna med implicit feedback, samt en beskrivning av hur dessa nackdelar kan hanteras. En prototyp som översatte användarbeteende till olika relevansröster och beräknade ett relevansvärde baserat på dessa relevansröster med hjälp av en algoritm, utvecklades. Denna prototyp testades sedan på en hemsida med verkliga användare under en begränsad tid. Resultatet från denna testperiod analyserades och gav slutsatsen att prototypen inte var perfekt, men att resultaten kunde förbättras med hjälp av finjusteringar av algoritmen. Prototypens precision, med avseende på vilka produkter algoritmen valde ut som relevanta, var dock bättre än dess sensitivitet.
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Escatiola, Joanne Ambat. "How effective are college based websites at providing students with the information necessary to make an informed college choice?" CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3234.

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The purpose of the project was to develop a rubric to assess whether a selected group of college websites, chosen to represent most of what is available to students, meet the requirements necessary for students to make an informed college choice. The project was undertaken as a way to determine if these sites, individually or as a whole, present enough information for students to make a choice that correctly aligns with their college aspirations.
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Kidrakarn, Karun. "Employer Branding for Successful Recruitment and Retention of Talented Academic Staff in Thai Universities." Thesis, 2014. https://vuir.vu.edu.au/25843/.

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Employer branding may be communicated in a variety of ways, but today it is an organisation’s website that is commonly used to convey the desired image. A website is commonly recognised as the first port of call for any potential employee. It should, therefore, be the first channel of communication undertaken by an employer branding strategy. This thesis reports on research investigating the use of websites by Thai universities and examines how a well-designed website can be used to efficiently communicate the employer brand as it is related to attracting and retaining talented academic staff in Thai universities.
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Yao, Wen-Feng, and 姚文鋒. "Block-level Ranking for Intra-Website Pages." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/2tvrgw.

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碩士<br>國立交通大學<br>資訊學院碩士在職專班資訊組<br>95<br>According to the statistical data, there are more than 14 billion web pages in whole world by June of 2007. It’s a important thing that how to use this huge database efficiently. For the information that we do not know its location, we usually use search engines to help us to find it out. And for the information that we do know where it is, we use data extraction to increase the efficiency. BODE (Browser Oriented Data Extraction), developed by our laboratory, is such a web data extraction system. Its GUI can be used to indicate the data they want to retrieve, and the system will generate the BODE script that is used in the extraction process, and then start to extract. However, people must have the basic knowledge about the syntax of BODE script, XPath and HTML Tag to build the BODE script. To reduce the threshold of using BODE system, this thesis proposes an algorithm to distinguish the useful information blocks from a single web site, so as to accomplish the goal of automatically generating BODE script.
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Lai, Szu-Chia, and 賴思嘉. "A Study of How to Upgrade SEO Website Ranking." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/68548822893243285526.

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碩士<br>國立勤益科技大學<br>流通管理系<br>98<br>We are experiencing an explosive growth of information and change. Two major search engines, Google and Yahoo, have become thinking-tanks in life; that means the rising Internet marketing - Search Engine Marketing business has become a main, essential channel. However, SEO (Search Engine Optimization; SEO) techniques, tools, website traffic and analytical reports for quicker and accurate results through keyword searching, web linking, and data forwarding to create natural search results to increase website ranking are worthy of study and analysis. This paper investigates top search engines of SEO marketing skills using exemplary cases. An example of Decoupage studio,it explores the experimental methods used in building three types online website platforms – Pixnet, Hostmonster, and NCUT, the use of SEO techniques, sorting through natural search marketing, analysis of search users’ entry of effective keywords, and developing regulations, so as to optimize website ranking, exposure, and popularity. Through website traffic reports, analyses, and evaluations, the website topic and product information can be made clearer to the search users, maximizing its potential in the modern age. Finally, this research summarizes the design, build, operation, and comparative analysis results examined in Search Engine Optimization website ranking of two major search engine sites for companies reference.
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Lu, Meng-Huang, and 盧盟晃. "An Empirical Study of Website Ranking and Search Engine Optimization." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/89705757732384276479.

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博士<br>中華大學<br>科技管理博士學位學程<br>100<br>The report of the rearch conducted by the United States of America research organization MarketingSherpa pointed out that, search engine optimization (Search Engine Optimization) is the most effective way of marketing that the product marketing personnel and marketing director believe. According to the forecast made by the WTTC (World Travel &; Tourism Council), the global travel &; tourism demand will reach to 10.7 trillion U.S dollars in 2015. Individual case of hotel that belongs to the tourism industry has been invited in this study, so as to jointly implement the the website search engine optimization technology. The data obtained by the web traffic statistics software, supplemented by the tracking of web site ranking and the test data of network user search, are used to assess the benefit of the technical implementation methods, Specific patterns of the implementation of hotel website search engine marketing optimization are put forward accordingly. 　　The case websites in the case study adopt "Domain Name Optimization", "Virtual Host and Web Platform", "Website Architecture Planning", "Search Engine Submission", "Keyword Analysis and Selection", "Webpage HTML grammar optimization", "External link optimization", "Sitemap production and submission", "External anchor text links optimization", "using the auction platform optimization", "Website label optimization", "Local business online pages optimization" and "Use RSS to update the content optimization", the actual examples of the search engine optimization. 　　The research flow data show that, after the search engine optimization, the individual website ranking is improved, the number of website visitors, the number of page views and the research test results also increase respectively, as well as other key words also have rank bonus. The researcher has proposed specific recommendations: Combining the social publishing tools, regularly update website contents, and continue to conduct the external link optimization, and do well in using Open Source software to set up the sub-website, strengthen the community marketing, and build up the action interface website.
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Li, Cheng-Chung, and 李政忠. "The Application of Artifical Neural Network for the Prediction of Website Ranking." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/97076489629673271776.

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碩士<br>國立高雄師範大學<br>資訊教育研究所<br>93<br>The technology for developing website becoming mature and the ease to obtain webpage space, the number of websites grows with a surprising speed. But the lower threshold of website construction also means that the quality of websites can vary drastically since many websites are built by amateurs with little experience. Website quality assessment is thus becoming an important subject. Past researches on website quality assessment usually conducts the assessment manually. This research collects and induces quantifiable criteria in website quality assessment from the literature, develops automated tools for computing these criteria, and applying the learning ability of artificial neural network to predict the ranking of the average number of visits of a website from the collected data. The main purpose is to offer website administrator a tool for analyzing websites, and possible improvements for a website. The average number of visits is based on a domestic website that continuously monitors visiting data of some websites for 應用類神經網路於網站排名預測 III years. Java language is used to design an agent program, called SiteCrawler, which automatically crawls a ranked website and collects the assessment data and its average number of visits. Finally, artificial neural network is augmented with statistics techniques to analyze the relationship of the collected metrics and the average number of visits for website, and a prediction model of the average number of visits for a website is established.
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KAO, SHUN-CHIEN, and 高順堅. "Discussion on the Influence of Website External Link Type on Google Ranking." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/pw2f74.

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碩士<br>國立臺灣科技大學<br>管理學院MBA<br>106<br>Search engines in today's society have an irreplaceable role in promoting various transactions. This study hopes to explore the important factors, links, pages and web pages of Google rankings. It is the founder of Google, Peggy, who published a large conference at a conference. The paper on the analysis of the scale hypertext web search engine, which mentions the page rank algorithm, has an important impact. However, due to the evolution of web content, there are not only texts, pictures, videos, but also the technology of the website architecture, including social devices, community platforms, image recognition, physical location, real-time information, in addition to such extensive content. There are a number of technologies that have developed various search engine optimization (SEO) for sorting calculus. They want to get traffic on the first page of search engines. In particular, search engine traffic has become more than 30% of commercial websites. In response to the attempt to more accurately meet the search engine users' attempts, and also to filter out the websites of cheating techniques, Google has developed various algorithms to develop website quality specifications from the characteristics of the search engine. The search engine hopes to learn from algorithms and machine learning. The result of the quality improvement of the page. I hope that from the actual observation of the page that has been ranked to the first page of the search results page, the external link source of the page is the type, the type of the external link source of the page after the tenth page, so as to provide the hope to obtain the search engine. The website operator of the traffic has a reference source for the source of the link. This study provides a way to build a search engine ranking strategy with an external chain. Don't be superstitious about the number. For search engines to find the right information for the Inquirer, the external link should pay attention to the relevance of the content.
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Bücher zum Thema "Ranking of websites"

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Erlhofer, Sebastian. Suchmaschinen-Optimierung: Das umfassende Handbuch ; [Grundlagen, Funktionsweisen und Ranking-Optimierung ; Planung und Durchfu hrung fu r Google und Co. ; Konversionsraten steigern, Google AdWords, Web Analytics ; das Standardwerk, vollsta ndig u berarbeitet]. 5th ed. Galileo Press, 2011.

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Reed, Richard. Website Guaranteed Ranking. Reed Consortium, 2022.

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Website Guaranteed Ranking. Reed Consortium, 2023.

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Abdullah, Kegesa Danvas. Search Engine Optimization Techniques by Google's Top Ranking Factors: Website Ranking Signals. Independently Published, 2017.

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Suchmaschinenoptimierung and Usability: Website-Ranking und Nutzerfreundlichkeit Verbessern. Franzis Verlag GmbH, 2012.

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Rankin, Ian. Ian Rankin Website Pack of 100 Postcards. Orion Publishing Group, Limited, 2003.

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Five Simple Steps to Improve Your Website's Search Engine Ranking. Tracker Press, 2007.

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Weideman, Melius. Website Visibility: The Theory and Practice of Improving Rankings. Elsevier Science & Technology, 2009.

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Website Visibility The Theory And Practice Of Improving Rankings. Chandos Publishing (Oxford), 2009.

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Bleakley, Chris. Poems That Solve Puzzles. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853732.001.0001.

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Algorithms are the hidden methods that computers apply to process information and make decisions. The book tells the story of algorithms from their ancient origins to the present day and beyond. The book introduces readers to the inventors and events behind the genesis of the world’s most important algorithms. Along the way, it explains, with the aid of examples and illustrations, how the most influential algorithms work. The first algorithms were invented in Mesopotamia 4,000 years ago. The ancient Greeks refined the concept, creating algorithms for finding prime numbers and enumerating Pi. Al-Khawrzmi’s 9th century books on algorithms ultimately became their conduit to the West. The invention of the electronic computer during World War II transformed the importance of the algorithm. The first computer algorithms were for military applications. In peacetime, researchers turned to grander challenges - forecasting the weather, route navigation, choosing marriage partners, and creating artificial intelligences. The success of the Internet in the 70s depended on algorithms for transporting data and correcting errors. A clever algorithm for ranking websites was the spark that ignited Google. Recommender algorithms boosted sales at Amazon and Netflix, while the EdgeRank algorithm drove Facebook’s NewsFeed. In the 21st century, an algorithm that mimics the operation of the human brain was revisited with the latest computer technology. Suddenly, algorithms attained human-level accuracy in object and speech recognition. An algloirthm defeated the world champion at Go - the most complex of board games. Today, algorithms for cryptocurrencies and quantum computing look set to change the world.
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Buchteile zum Thema "Ranking of websites"

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Kanayama, Toyohiro, Hideto Ogasawara, and Hiroshi Kimijima. "Quality Control Techniques for Constructing Attractive Corporate Websites: Usability in Relation to the Popularity Ranking of Websites." In Software Quality — ECSQ 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47984-8_9.

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Gharahighehi, Alireza, Celine Vens, and Konstantinos Pliakos. "Multi-stakeholder News Recommendation Using Hypergraph Learning." In ECML PKDD 2020 Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65965-3_36.

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AbstractRecommender systems are meant to fulfil user preferences. Nevertheless, there are multiple examples where users are not the only stakeholder in a recommendation platform. For instance, in news aggregator websites apart from readers, one can consider magazines (news agencies) or authors as other stakeholders. A multi-stakeholder recommender system generates a ranked list of items taking into account the preferences of multiple stakeholders. In this study, news recommendation is handled as a hypergraph ranking task, where relations between multiple types of objects and stakeholders are modeled in a unified hypergraph. The obtained results indicate that ranking on hypergraphs can be utilized as a natural multi-stakeholder recommender system that is able to adapt recommendations based on the importance of stakeholders.
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Agrawal, Nishchay, and Suman Pant. "Web Crawler for Ranking of Websites Based on Web Traffic and Page Views." In Algorithms for Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4087-9_10.

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Revanth, Pathuri, P. Venkata Krishna, and A. C. Santha Sheela. "Novel Embedding Based Ranking Approach for Effective Product Marketing on E-Commerce Websites." In Advances in Power Systems and Energy Management. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_46.

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Briciu, Victor-Alexandru, Robert Demeter, Florin Nechita, Androniki Kavoura, and Arabela Briciu. "A Proposed Online Platform for Ranking Place Brands Identity Characteristics of Official Tourism Websites." In Strategic Innovative Marketing and Tourism. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12453-3_87.

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Stack, Michelle. "Mediatization and University Websites." In Global University Rankings and the Mediatization of Higher Education. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137475954_6.

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Stack, Michelle. "Seeing Is Believing: University Websites." In Global University Rankings and the Mediatization of Higher Education. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137475954_3.

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Xu, Guanglin, Xiaolin Xu, and Jiali Feng. "A Ranking Model Based on Credit for Social News Website." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24273-1_52.

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Verma, Khyati, Sanjay Kumar Malik, and Ashish Khanna. "A Novel Approach to Improve Website Ranking Using Digital Marketing." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1286-5_23.

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Vásquez, Carmen Luisa, Marisabel Luna-Cardozo, Maritza Torres-Samuel, Nunziatina Bucci, and Amelec Viloria Silva. "Website Information Architecture of Latin American Universities in the Rankings." In Computational Vision and Bio-Inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37218-7_16.

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Konferenzberichte zum Thema "Ranking of websites"

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Farjadian, Yasamin, Gholam Ali Montazer, and Yeganeh Sattari. "Improving SEO System for Iranian Commercial Website Rankings using Fuzzy Inference System." In 2024 11th International Symposium on Telecommunications (IST). IEEE, 2024. https://doi.org/10.1109/ist64061.2024.10843418.

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Surukanti, Sridhar Reddy, Pulluri Srinivas Rao, U. V. Ramesh, L. Yamuna, V. Thirupathi, and A. Lakshmana Rao. "An Optimized Machine Learning Framework for Phishing Website Detection Integrating Feature Robustness and Adversarial Resilience Ranking." In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN). IEEE, 2025. https://doi.org/10.1109/icpcsn65854.2025.11035371.

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Naili, Mohamed, Abdelhak Boubetra, and Abdelkamel Tari. "Mobile Commerce Websites Ranking." In 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies (NGMAST). IEEE, 2014. http://dx.doi.org/10.1109/ngmast.2014.52.

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Kibirige, Haruna, and Lila Ghemri. "Trust ranking of medical websites." In the 4th ACM conference. ACM Press, 2014. http://dx.doi.org/10.1145/2557547.2557584.

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Subbulakshmi, S., A. Gopika, and Lincy Thomson. "Enhanced Ranking of Websites Based on Credibility Evaluation." In 2019 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces45898.2019.9002116.

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Xu, Darren, Dexter Xu, and Ang Li. "WebReview: An Intelligent Classification Platform to Automate the Evaluation and Ranking of Website Quality and Usability using Artificial Intelligence and Web Scraping Techniques." In 8th International Conference on Control, Modeling and Computing (CMC 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120504.

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Paywalls are a staple of the internet and seen in a vast amount of websites [1]. Encountering a paywall is always annoying, whether you’re doing work for school or just trying to catch up on the latest news [2]. To eliminate this annoyance we have created Wall Breaker, a google extension with the primary task of bypassing any paywall using a variety of methods [3]. Our extension uses methods such as opening the website in an incognito tab or acting as a new user when clicking on a link. Although not the first of its kind, our extension is truly unique in the methods and techniques used. The popup used is easy to use and simple to look at, providing the best user experience. Wall Breaker will work on most websites, both popular and lesser known ones. It makes no distinction between certain types of websites and the methods can be used on any page. While Wall Breaker might not work on every website those are few and far between.
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Divya, Parveen Sehgal, and Aakash Gupta. "Review Analysis of E-Learning Websites Selection and Ranking Methodologies." In 2022 8th International Conference on Signal Processing and Communication (ICSC). IEEE, 2022. http://dx.doi.org/10.1109/icsc56524.2022.10009392.

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del Rio, Marta, Linda Cortes, and Luis Salamanca. "The use of relevant content in mexican government websites: A ranking proposal to increase citizen-oriented websites." In 2016 4th International Conference on User Science and Engineering (i-USEr). IEEE, 2016. http://dx.doi.org/10.1109/iuser.2016.7857955.

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Zhu, Yu, Junxiong Zhu, Jie Hou, et al. "A Brand-level Ranking System with the Customized Attention-GRU Model." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/549.

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In e-commerce websites like Taobao, brand is playing a more important role in influencing users' decision of click/purchase, partly because users are now attaching more importance to the quality of products and brand is an indicator of quality. However, existing ranking systems are not specifically designed to satisfy this kind of demand. Some design tricks may partially alleviate this problem, but still cannot provide satisfactory results or may create additional interaction cost. In this paper, we design the first brand-level ranking system to address this problem. The key challenge of this system is how to sufficiently exploit users' rich behavior in e-commerce websites to rank the brands. In our solution, we firstly conduct the feature engineering specifically tailored for the personalized brand ranking problem and then rank the brands by an adapted Attention-GRU model containing three important modifications. Note that our proposed modifications can also apply to many other machine learning models on various tasks. We conduct a series of experiments to evaluate the effectiveness of our proposed ranking model and test the response to the brand-level ranking system from real users on a large-scale e-commerce platform, i.e. Taobao.
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Sarkar, Dan, and Brynne McGarry. "Exploring Editorial Content Optimization for Websites through a Statistical Ranking of Articles." In CHI'16: CHI Conference on Human Factors in Computing Systems. ACM, 2016. http://dx.doi.org/10.1145/2851581.2892359.

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Berichte der Organisationen zum Thema "Ranking of websites"

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Mayfield, Colin. Higher Education in the Water Sector: A Global Overview. United Nations University Institute for Water, Environment and Health, 2019. http://dx.doi.org/10.53328/guxy9244.

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Higher education related to water is a critical component of capacity development necessary to support countries’ progress towards Sustainable Development Goals (SDGs) overall, and towards the SDG6 water and sanitation goal in particular. Although the precise number is unknown, there are at least 28,000 higher education institutions in the world. The actual number is likely higher and constantly changing. Water education programmes are very diverse and complex and can include components of engineering, biology, chemistry, physics, hydrology, hydrogeology, ecology, geography, earth sciences, public health, sociology, law, and political sciences, to mention a few areas. In addition, various levels of qualifications are offered, ranging from certificate, diploma, baccalaureate, to the master’s and doctorate (or equivalent) levels. The percentage of universities offering programmes in ‘water’ ranges from 40% in the USA and Europe to 1% in subSaharan Africa. There are no specific data sets available for the extent or quality of teaching ‘water’ in universities. Consequently, insights on this have to be drawn or inferred from data sources on overall research and teaching excellence such as Scopus, the Shanghai Academic Ranking of World Universities, the Times Higher Education, the Ranking Web of Universities, the Our World in Data website and the UN Statistics Division data. Using a combination of measures of research excellence in water resources and related topics, and overall rankings of university teaching excellence, universities with representation in both categories were identified. Very few universities are represented in both categories. Countries that have at least three universities in the list of the top 50 include USA, Australia, China, UK, Netherlands and Canada. There are universities that have excellent reputations for both teaching excellence and for excellent and diverse research activities in water-related topics. They are mainly in the USA, Europe, Australia and China. Other universities scored well on research in water resources but did not in teaching excellence. The approach proposed in this report has potential to guide the development of comprehensive programmes in water. No specific comparative data on the quality of teaching in water-related topics has been identified. This report further shows the variety of pathways which most water education programmes are associated with or built in – through science, technology and engineering post-secondary and professional education systems. The multitude of possible institutions and pathways to acquire a qualification in water means that a better ‘roadmap’ is needed to chart the programmes. A global database with details on programme curricula, qualifications offered, duration, prerequisites, cost, transfer opportunities and other programme parameters would be ideal for this purpose, showing country-level, regional and global search capabilities. Cooperation between institutions in preparing or presenting water programmes is currently rather limited. Regional consortia of institutions may facilitate cooperation. A similar process could be used for technical and vocational education and training, although a more local approach would be better since conditions, regulations and technologies vary between relatively small areas. Finally, this report examines various factors affecting the future availability of water professionals. This includes the availability of suitable education and training programmes, choices that students make to pursue different areas of study, employment prospects, increasing gender equity, costs of education, and students’ and graduates’ mobility, especially between developing and developed countries. This report aims to inform and open a conversation with educators and administrators in higher education especially those engaged in water education or preparing to enter that field. It will also benefit students intending to enter the water resources field, professionals seeking an overview of educational activities for continuing education on water and government officials and politicians responsible for educational activities
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