Website Search Engine Research Articles

Where are We Now in Providing Medical Information in the Digital Space? A Benchmark Survey of PhactMI™ Member Companies.

The Pharma Collaboration for Transparent Medical Information (phactMI™) benchmarking survey was conducted to evaluate the use of technology and websites associated with the medical information (MI) departments of 27 biopharmaceutical companies in the United States. The e-survey was administered to phactMI™ members between December 2017 and February 2018 and included closed and open-ended questions with 7 distinct categories: existence of a MI website, content type available following a search query, website functions, search engine optimization (SEO), website traffic, internal communications/analytics, and additional technology capabilities. Survey findings noted that 20 companies own a MI-specific website through which MI services are provided to healthcare providers (HCPs). When asked about the dissemination of MI content through varying formats, survey results indicated Portable Document Format (PDF) to be the most common (18/27), followed by videos (8/27), presentations (5/27), infographics (3/27), and Hypertext Markup Language (3/27). Many companies have a responsive design website (19/25), webform (24/25), and a 1-800 number (22/25) for MI services. Few companies have a live chat (10/25) or a chatbot (1/25) and 9 of 25 said that content is searchable on Google™. Although website traffic varied among companies, a significant driver of this appeared to be whether the site is indexed. While most of the member companies have a MI website, there is significant room for improvement in content formats available as part of a search. Traditional website features, such as search functionality and webform, are commonly available on websites; however, newer technologies, such as chatbot and live chat, are less featured. Across most member companies, there is also a need for improvement in increasing website traffic, Google™ indexing, and SEO.

Search Engine Optimization (SEO) in Promoting E-Commerce Start Aja. Com

StartAja.com is an e-commerce designed to help connecting business people who have similar interests in certain business area. Currently, StartAja.com hasn’t have digital marketing strategy yet to simplify keyword searches in promoting StartAja.com. This research’s objective is to formulate a Search Engine Optimization (SEO) strategy. By using SEO, StartAja.com is expected to be the top ranked e-commerce in search engine websites. Research data are obtained through observing the interface and functionalities of StartAja.com, and also its promotion requirements. This research has discovered the right combination of keywords to be used in SEO, to help optimize the promotion of StartAja.com.

Особенности поисковой оптимизации и продвижения сайта товаров ограниченного спроса

Особенности поисковой оптимизации и продвижения сайта товаров ограниченного спроса

Ensuring safety of employees during COVID 19 pandemic in workplace settings

The coronavirus disease 2019 pandemic has influenced all the domains of human's life. Owing to the novel nature of the infection, with no potential drug or vaccine available till date for the management or prevention of the infection, it is extremely important to ensure that all the stakeholders work together. An extensive search of all materials related to the topic was carried out in the PubMed search engine and World Health Organization website and a total of 3 articles were selected based upon the suitability with the current review objectives. Keywords used in the search include COVID-19, and workplace. There is an immense need to implement appropriate strategies to prevent the spread of the infection both in the workplace and in the community. A series of measures such as early case detection, isolation of cases, contact tracing, and appropriate treatment has to be taken to ensure effective containment of the infection. To conclude, it is the need of the hour to improve the outbreak readiness and emergency response in workplace is an important component of the containment of the infection. However, this will essentially require support from all the stakeholders and the employers have to take the center stage..

Don't just watch, join in: Exploring information behavior and copresence on Twitch

This mixed-methods study examined users' information behavior and their perceptions of copresence on Twitch.tv, where millions of people come together live every day to stream, interact, and make their own entertainment. Human information theory model and social identity theory constituted the theoretical framework for this research. Studying topic specific live streaming services is an emerging and exciting field in communication. Topic specific live streaming sites such as Twitch.tv are evolving constantly into important sources of information that complement the traditional information systems such as libraries and online search engine sites like Google. Chat logs of three live streams on Twitch.tv were analyzed using Linguistic Query and Word Count (LIWC) and SPSS statistical tools. Qualitative thematic analysis was carried out using Nvivo 12. Information reaction and production were the most frequent information behaviors across three streams. Qualitative analysis indicated that users within the three live streams showed a great deal of copresence. This study is an important first step to provide theoretical insights into understanding human information behavior on Twitch, topic specific live streaming sites, and social live streaming sites in general.

Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?

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.

The epidemiology of syphilis in Ethiopia: a protocol for systematic review and meta-analysis covering the last three decades

BackgroundSeveral individual epidemiological studies in Ethiopia suggest that syphilis is a public health problem. However, to the best of our knowledge, there is no synthesized and meta-analysis data on the epidemiology of syphilis in Ethiopia. This systematic review and meta-analysis aimed to summarize and synthesize existing data on the prevalence of syphilis in Ethiopia.MethodStudies reporting the prevalence of syphilis will be identified from major databases and gray literature. The major databases (MEDLINE/PubMed, EMBASE, Web of Science, CINAHL, The Cochrane Library, Lilacs, and African journal online) and gray literature (Google Scholar search engine, official WHO and CDC websites, the online library of academic and governmental institutions in Ethiopia) will be searched. Studies published/reported from 1 January 1990 to 1 January 2019 will be included to have a contemporary estimation. A random-effect meta-analysis of prevalence will be used after stabilizing the variance of included studies using a single arc transformation. The quality of the included studies will be assessed using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instruments. Heterogeneity and publication bias will be assessed. If significant heterogeneity is detected, subgroup analysis will be done using study region, study population, diagnostic assay/syphilis screening tool, median sample size, year of data collection, study sites, sampling method, and methodological quality as grouping variables.DiscussionThis systematic review and meta-analysis intend to contribute an improved knowledge on the epidemiology of syphilis in Ethiopia. Knowledge about the epidemiology of syphilis may help policymakers and other stakeholders to allocate resources and target interventions for the prevention and elimination of syphilis.Systematic review registrationPROSPERO CRD42018116231

Website Development and Search Engine Optimization

Website Development and Search Engine Optimization

The best practices of online presidential communication in democratic states Romania, Republic of Moldova and Russian Federation

The Presidential Communication is defined as the dissemination, by the president or the presidential institution, of the public or national interest information. The interactive model, with its connotation of public deliberation renovated form, is the most egalitarian and democratic model of presidential political communication.
 Currently, in most European democratic states, the "true public deliberation" is favored by political websites which allow the two-way communication and the three-way communication. Among the most interactive elements of the websites the researchers have identified the following: active email to political leader or contact forms, e-subscriptions, forums, site search engine.
 Presidency website is the main form of new media involved in the presidential political communication of the Republic of Moldova. Mapping the website, content analysis, interpretation of results - are the methods which have been used for the purposes to assess the effectiveness of communication between Head of State and citizens from the online environment. Contrastive analysis of new media, applied for the presidential communication by Nicolae Timofti, Klaus Iohannis, Vladimir Putin, has served to determine the best practices and to develop recommendations for optimizing online presidential communication of the Republic of Moldova.

Iterative Conditional Entropy Kalman filter (ICEKF) for noise reduction and Neuro Optimized Emotional Classifier (NOEC)

Emotion has a most important aspect in terms of interactions among the humans and this would become ideal for human emotions to get mechanically identified by the machines and primarily for enhancing the communication among the human–machine. In the recent work Enhanced Bat algorithm with Simulated Annealing (EBSA) are introduced for solving emotion recognition problem. Here the removal of noises from the speech samples and reduction in the number of speech features becomes very difficult task which reduces the accuracy of the classifier. To solve this problem this research work involves detection of emotions from speech which stimulates machines understanding human behavioral tasks namely reasoning, decision making and interaction. EBSA is used in the previous system to identify the happy, sad and neutral emotions from speech input. The performance of the previous system has been decreased due to recognition accuracy and feature selection. Improved Artificial Bee Colony (IABC) with Neuro Optimized Emotional Classifier (NOEC) solves this issue in the proposed system. The Iterative Conditional Entropy Kalman filtering (ICEKF) is initially processed to effectively filter the noisy features from the inputted speech data. Mel Frequency Cepstrum Coefficient (MFCC), pitch, energy, intensity and formants are extracted as speech features. Every extracted feature is maintained in the database and annotated along with their emotional class label. IABC algorithm chooses the feature optimally, which in turn employs the best fitness function values. From the optimally selected dataset, the NOEC is processed. Emotions can be identified from the Tamil news speech dataset with the help of the supervised machine learning technique, which demands the training set (collection of emotional speech recordings). Every recording or sample in the dataset is named with the emotional class and they are indicated as n-dimensional vector of spectrum coefficients which in turn is extracted from the Tamil news speech dataset. This dataset is collected from real time via using the search engine sites like Google, YouTube, twitter etc. By implementing IABC with NOEC classification process, the work segregates the emotional classes such as happy, sad, anger, fear and neutral emotions perfectly. From the experimental verification, it is confirmed that the proposed method IABC with NOEC gives better performances with respect to accuracy, precision, recall and f-measure values.

DESIGN AND DEVELOPMENT OF SIMULATION TOOL FOR TESTING SEO COMPLIANCE OF A WEB PAGE – A CASE STUDY

Efficient search engines enable the end user to avail the target information as early as and as accurately as possible. Search engine optimization conforms to the act of optimizing the webpage in particular and a website in general so as to acquire a highest ranking in search engine results. The ranking is based on some pre-defined criteria which SEO encapsulates for generating right signal to the search engine. The basic methodology adopted for this purpose primarily focuses on enriching the website content and improving readability by making the web pages more search engine friendly. Several optimization tools exist for rendering the website search engine friendly. But all these tools operate like a black box where the internal details are not immediately revealed to an end user. To facilitate this, in the current work the authors have designed and developed a simulation tool for testing w3C compliance which is a necessary condition for making a webpage search engine friendly. The browsers do not complain against the violation of W3C compliance rules, however such violations do result in rendering the web page invisible to the search engine which in turn results less network traffic flow to the website. Among other things W3C and CSS compliance are the most basic rules which a website designer cannot afford to ignore. In the current work, the tool is designed and developed for the purpose which accepts an HTML document and computes its W3C compliance score. The tool meticulously analyzes the HTML code and generates several reports conforming to violation of rules, if any. Further, the tool has the provision for converting the document into W3C compliance document based on the specified ruleset.Finally, the tool has been tested by applying it to the case study of a hypothetical organization.

Can User Generated Content Predict Restaurant Survival: Deep Learning of Yelp Photos and Reviews

Despite the substantial economic impact of the restaurant industry, large-scale empirical research on restaurant survival has been sparse. We investigate whether consumer-posted photos can serve as a leading indicator of restaurant survival above and beyond reviews, firm characteristics, competitive landscape, and macro conditions. We employ machine learning techniques to extract features from 755,758 photos and 1,121,069 reviews posted on Yelp between 2004 and 2015 for 17,719 U.S. restaurants. We also collect data on restaurant characteristics (e.g., cuisine type; price level), competitive landscape, as well as entry and exit (if applicable) time from each restaurant’s Yelp/Facebook page, own website, or Google search engine. Using a predictive XGBoost algorithm, we find that consumer-posted photos are strong predictors of restaurant survival. Interestingly, the informativeness of photos (e.g., the proportion of food photos; the proportion of photos with helpful votes) relates more to restaurant survival than do photographic attributes (e.g., composition; brightness). Additionally, photos carry more predictive power for independent, young or mid-aged, and medium-priced restaurants. Assuming that restaurant owners possess no knowledge about future photos and reviews, photos predict restaurant survival for up to three years, while reviews are only predictive for one year. We further employ causal forests to facilitate the interpretation of our predictive results. Among photo content variables, the proportion of food photos has the largest positive association with restaurant survival, followed by proportions of outside and interior photos. Among others, the proportion of photos with helpful votes also positively relates to restaurant survival.

Integruota rinkodaros komunikacija: edukacinių renginių rėmimo virtualių platformų vertinimas

The improvement of marketing communication channels become the actual objective in developing educational events activities. The inefficient use of communication tools in promotion of educational events does not sufficiently encourage consumers to take interest in such events. Marketing communication experiences gained in promoting various events can be useful in improving the channels for promoting educational events. This article summarizes the experience gained by organizers of educational events through integrated empirical research, the results of which are based on the perspectives and ways of using such integrated marketing communication channels as specialized platforms for the promotion and promotion of educational events that allow expanding the possibilities of traditional communication tools. Based on the theoretical analysis and empirical research findings, the article summarizes the experience gained in the field of event promotion and publicity measures. Analyzing the peculiarities for various channels of events promotion, the advantages of using virtual platforms of educational events promotion and opportunities for improving integrated marketing communication tools are revealed. The integrated marketing communication concept application for educational event publicity is a viable educational events marketing development tool. The educational events format is not strictly regulated, and educational events have many different features, shapes, although they correspond to education, training and educational concepts.The larger scale of the event organizers lies in that they mostly use the greater part of the funds in targeted paid advertising in order to attract the target audience of consumers. In smaller event organization processes, the greater emphasis is being given on online advertising. Therefore, the application of integrated marketing communication is becoming an important tool for supporting small-scale publicity events.The most commonly used integrated marketing communication tools are as follows: Site search engine optimization (SEO and SEM), the Google Adwords advertising tool, advertising panels/banners. These measures are not used by all of the business entities, but they help to reach the target audience with sufficient accuracy.Social networking is the most used tool for event organizers to publicize events, attract various groups of interested persons, to communicate with customers so as to get feedback.The evaluation of each site’s social benefits specifics can help to make efficient use of integrated marketing communication purposes:a) Facebook allows you to quickly create an event advertisement, show how effective are the heavy advertising options and how quickly the target audience is being reached. Paid advertising of the event function allows you to filter target audiences based on specific criteria and to promote your event precisely to those audiences;b) The LinkedIn network offers a number of promotional tools, which allows for sharing of information about organized events, communicating with certain groups and searching for partners.Social networks are integrated in a virtual environment, where you can choose the advertising strategies and where you can also manage, monitor and analyze them.Event promotion and ticketing platforms are becoming an increasingly popular form used for event publicity, since the type of operating principles of these sites comply with the complex elements of promotion.Event promotion platforms are the main features of events publicity, ticket sales and registration for the events execution. These sites are perfectly tailored as publicizing events and event notices providing key information. Analytical tools allow one to analyze customer flows, because this platform is linked with social networks; therefore, these platforms can be used to share publicized events on social networks and thus expand the scope of the audience.Virtual platforms are superior in comparison with the social networks, as they are integrated with additional functions, such as the concept of the event, budget, time limits, transfer calls and so on.The event publicity virtual platform is designed to attract the target audience, so it can become a viable integrated marketing communication tool, ideal for educational events to inform visitors and to attract them. The biggest drawback is that despite the fact that the virtual platform is fully optimized, their popularity in Lithuania is not high, and event organizers are just starting to use these event publishing processes.

Role of contact tracing in containing the 2014 Ebola outbreak: a review.

The 2014 outbreak of Ebola virus disease which emerged in the month of March in the year 2014 in Guinea has been declared as a public health emergency of international concern. The objectives of the review article are to assess the role of contact tracing in the Ebola outbreak and to identify the challenges faced by the health workers while performing contact tracing. An extensive search of all materials related to the Ebola outbreak and contact tracing was carried out in PubMed, Medline, World Health Organization website and Google Scholar search engines. Keywords used in the search included Ebola virus disease, West-Africa, contact tracing, World Health Organization. Overall 60 articles were selected and included in the discussion. Contact tracing is an important strategy in epidemiology and refers to the identification and diagnosis of those individuals who have come in contact with an infected person. It ultimately aims to reduce the time span required to detect and treat a case of an infectious disease and hence significantly minimize the risk of transmission to the subsequent susceptible individuals. In-fact, contact tracing continues to remain an important measure, as it aids the epidemiologist in containing the infection. The strategy of contact tracing has a great potential to significantly reduce the incidence of cases of Ebola virus disease. However, its success is eventually determined by the level of trust between the community and the public health system and the quality of the diagnostic & treatment services.

Search engine optimization

Purpose – The purpose of this paper is to examine the effect of, and identify core techniques of, search engine optimization (SEO) techniques applied to the web (http://lg-sl.net) and mobile (http//m.lg-sl.net) Science Land content and services at LG Sangnam Library in Korea. Design/methodology/approach – In accordance with three major SEO guidelines, ten SEO techniques were identified and applied, and their implications were extracted on three areas: improved search engine accessibility, increased relevance between site content and search engine keywords, and improved site credibility. The effects were quantitatively analyzed in terms of registered search engine keywords and influx of visits via search engines. Findings – This study shows that SEO techniques help increase the exposure of the library services and the number of visitors through search engines. Practical implications – SEO techniques have been applied to a few non-Korean information service organizations, but it is not a well-accepted practice in Korean libraries. And the dominant search engines in Korea have published their own SEO guidelines. Prior to this study, no significant endeavors have been undertaken in the context of Korean library services that have adopted SEO techniques to boost exposure of library services and increase user traffics. Originality/value – This is the first published study that has applied optimized SEO techniques to Korean web and mobile library services, in order to demonstrate the usefulness of the techniques for maximized exposure of library content.

Cyber Profiling Using Log Analysis And K-Means Clustering

The Activities of Internet users are increasing from year to year and has had an impact on the behavior of the users themselves. Assessment of user behavior is often only based on interaction across the Internet without knowing any others activities. The log activity can be used as another way to study the behavior of the user. The Log Internet activity is one of the types of big data so that the use of data mining with K-Means technique can be used as a solution for the analysis of user behavior. This study has been carried out the process of clustering using K-Means algorithm is divided into three clusters, namely high, medium, and low. The results of the higher education institution show that each of these clusters produces websites that are frequented by the sequence: website search engine, social media, news, and information. This study also showed that the cyber profiling had been done strongly influenced by environmental factors and daily activities.

AUTOMATIC PLANNING OF EXTERNAL SEARCH ENGINE OPTIMIZATION / AUTOMATIZUOTAS IŠORINIO PAIEŠKOS SISTEMŲ OPTIMIZAVIMO PLANAVIMAS

This paper describes an investigation of the external search engine optimization (SEO) action planning tool, dedicated to automatically extract a small set of most important keywords for each month during whole year period. The keywords in the set are extracted accordingly to external measured parameters, such as average number of searches during the year and for every month individually. Additionally the position of the optimized web site for each keyword is taken into account. The generated optimization plan is similar to the optimization plans prepared manually by the SEO professionals and can be successfully used as a support tool for web site search engine optimization. Straipsnyje sprendžiami paieškos sistemų (angl. SEO) išorinio optimizavimo planavimo klausimai. Pateikiama jo automatizavimo koncepcija. Turint reikšminių žodžių sąrašą, jų esamas vietas paieškos sistemos rezultatuose, vidutinį paieškų skaičių per metus, apskaičiuojami reikšminių žodžių svoriai. Pagal šiuos svorius, remiantis suformuluota koncepcija, nustatoma, kiek mėnesių šį reikšminį žodį reikia optimizuoti. Stebint atliekamų paieškų skaičiaus vidurkius, kiekvieną mėnesį apskaičiuojami maksimumai. Tada parengiamas išorinio optimizavimo planas, sudaromi optimizuotinų reikšminių žodžių rinkiniai konkrečiam mėnesiui. Gautas planas labai panašus į tuos, kurie sudaromi rankiniu būdu, todėl tai įgyvendinus programa, t. y. automatizavus, būtų sutaupoma nemažai laiko ir atsisakoma papildomų rutininių darbų.

Search Engine or Content Website? A Local Information Seeking Classification Model Based on Consumer Characteristics and Website Perceptions

Decisions concerning everyday life activities such as patronizing restaurants require obtaining information about them. Some consumers go directly to content websites when they need such information; others go directly to search engines. How do search engine users differ from content website users for a given type of local information? This local information-seeking classification model posits that they differ in their prior experiences with their “go-to” websites, their perceived search skills, their habit of using search engines, their involvement with the activity for which information is sought, their tendency to conduct extensive information search, and their beliefs about their “go-to” website types. Empirical results support the model. By integrating everyday life information seeking (ELIS), technology acceptance model (TAM), and consumer behavior literatures, the model in this study fills a theoretical gap in the literature and opens new lines of inquiries for both ELIS and TAM research.

Making Federal Data More Useful and Accessible to Fuel Media and Democracy: A Report for the Federal Committee on Statistical Methodology

As part of our participation in the December 2014 meeting of the Federal Committee on Statistical Methodology, Journalist’s Resource at Harvard’s Shorenstein Center on Media, Politics and Public Policy authored recommendations to help the principal federal statistical agencies communicate better with media and, by extension, interested citizens. A variety of ideas were generated through website analysis, testing and conversations with journalists and experts. Agencies could substantially increase their potential audience by designing more for the “broad middle” of Web users, who may not be familiar with the federal statistics landscape. Proposed ideas are as follows:1) Media-communications recommendations: Hold regular workshops with journalists of all kinds, particularly non-specialists; when journalists need help with data, provide access to expert government officials; and regularly offer media organizations the chance to articulate their needs for original data collection. 2) Data content- and presentation-related recommendations: Rethink what agencies collect with a more “citizen-centric” approach; find data that speak to the technology revolution and related changes; stay relevant and current on the Web, repurposing materials as news trends emerge and emphasizing shorter “quick hits” from large datasets and reports; and feature salient data points in large reports and design visualizations for news sites. 3) Technical and website recommendations: Consider a more standardized Web user interface (UI) across agencies — and responsive design; build an intuitive, app-like version of each site for more general users; design for better site search and search engine optimization; be clear about the quality of data; strengthen user information and metadata; offer many data formats and consider use cases and accessibility; and create more Application Programming Interfaces (APIs) that are tailored to the needs of news and information companies.

Consumer health 2.0 in Canada: a descriptive analysis of the use of Web 2.0 technologies on Canadian consumer health information websites

An examination of the top 10 consumer health information (CHI) websites in Canada revealed that while all of these CHI websites provide extensive and well-organized content, hypertext links, static images, and a site search engine, their adoption of Web 2.0 technologies is generally limited to well-known technologies, such as Facebook and Twitter, or is nonexistent. Furthermore, CHI websites that fail to integrate links to Web 2.0 technologies into the main navigation bar on the homepage make the links less visible to site visitors.