But just what do all these hundreds of web metrics and terms exactly mean and what should you do with them? They can be pretty confusing! So this post is for those of you who want a quick primer on these website metrics, and to help you understand which ones are most useful for analyzing and improving your blogs or websites.
A large number of websites nowadays are designed without sufficient resources and professional skills. Therefore evaluating quality of a website is a very important issue, further for success of any web; quality is one of the most important attribute.
Various guidelines, tools and methodologies have been described by many authors to maintain the quality of a websites but their implementation is not much clear. Web metrics are used to measure various attributes of websites quantitatively and can be used to evaluate the quality of a website.
So it is important to assess the website to enhance the quality of websites and web development process. We collected data from websites of various categories from pixel awards of yearandto categorize the websites into good or bad.
Out of all these techniques results shows that area under ROC curve is greatest for Random forest within range. The basic purpose of Web is to provide up-to-date and relevant information to all users. For success of any organization like E-commerce highly depends on the quality of website, further.
Websites are developed by various organizations from very small to large organization with development teams; such small companies develop websites without sufficient resources and professional skills. Thus it is very important to evaluate the quality of website and web development process to improve the quality of websites.
Quality of a website can be viewed in terms of internal and external quality. Internal quality refers to cost effectiveness, maintainability and portability whereas external quality measures from the users standpoint Signore, Despite of various detailed design guidelines and design recommendation provided by various authors it is very difficult to implement them Nielsen, Nielsen, Web page metrics plays an important role to measure the quality of a website as they can measure quantitatively various attributes of a web page that influence the quality of a web page.
A large number of web metrics have been proposed by different authors that contribute to the goodness or quality of a website. Web metrics covers almost all aspects like page composition, amount of information, presentation, content and size of the websites.
But many smaller sites are designed with lack of resources and professional skills, leading to the poor quality of website. Thus it is very important question that how to improve the design of websites.
In our research we explore the following issues: NET language which is used to compute 20 web page metrics like word count, link count, script count etc.
We have collected web pages from various category of pixel awards to evaluate the quality of a website. These metrics make a subset of metrics which are related to the quality of web page design.
Then we applied various machine learning techniques and logistic regression technique to compare the performance to predict a website into good or bad. Related work This chapter briefly describes the related work that has been done for evaluating the website.
Literature review This chapter describes the detailed literature about the web metrics and the importance of web metrics.
Result Analysis In this chapter experimental setup and simulation results have been described. Sensitivity and Specificity criteria are used to measure the correctness of the models. Conclusion and future work Basic goal of this research is to categorize the website into good and bad on the basis of the web page metrics has been summarised in this chapter.
Literature Survey Over past 20 years more than web metrics has been proposed by different authors to improve the quality of web sites and web development process.
Bray made the earliest attempt to make global measurements about the web Bray, May,We use web analytics to track key metrics and analyze visitors’ activity and traffic flow. It is a tactical approach to collect data and generate reports.
Importance of Web Analytics We need Web Analytics to assess the success rate of a website and its associated business. Using Web Analytics, we can.
The details and advice in Advanced Web Metrics with Google Analytics is designed to help readers implement new methods and concepts, track social and mobile visitors, use multi-channel funnel reporting features, understand which filters to use, and much more. Web Metrics - Kapil Sharma - Master's Thesis - Computer Science - Software - Publish your bachelor's or master's thesis, dissertation, term paper or essay. Marketing metrics' usage: Its predictors and implications for customer relationship management Li Ling-yee⁎ Department of Marketing and International Business, Lingnan University of Hong Kong, Tuen Mun, New Territories, Hong Kong.
Ranking Web of Universities. July New Edition The July edition () is built with the indicators obtained during this month in order to maintain the freshness of the data of the most current and updated Ranking of Universities.
Oct 17, · Web analytics and metrics can be overwhelming. The key to avoid drowning in the sea of numbers is to start with six key metrics for measuring how your website is doing. The 6 Most Important Web Metrics to Track for Your Business Website | 4/5(38).
Metrics Doctoral thesis prepared by Shashikant Ramdas More July REPORT NO. PARTNER-COE Aircraft Noise Characteristics and Metrics A PARTNER Project 24 Report Shashikant Ramdas More PARTNER-COE July This work was conducted under PARTNER Projects 1, 2, and It was funded by the.
Select metrics and set targets: IRIS is the GIIN’s catalog of generally accepted performance metrics that the majority of leading impact investors use to measure and manage social, environmental, and financial performance and evaluate deals.
The GIIN manages IRIS, and offers it as a free public good to support transparency, credibility, and. Web Analytics: Introduction Posted on July 14, by John Dudovskiy Web analytics can be defined as “the analysis of qualitative and quantitative data from your website and the competition, to drive a continual improvement of the online experience that your customers, and potential customers have, which translates into your desired outcomes.