Web Page Grader of the Website
Shashikumar G. Totad, Prasad Reddy PVGD
Abstract
Shashikumar G. Totad, Prasad Reddy PVGD
Abstract
The Web Page Grader guides website designers/administrators to evaluate the web page by collecting various statistics from the Log file of the server and knowing the structure of the website. Every request of user for web information will be stored in the Log File. Along with statistics collected the structure of the web site plays a vital role. If the popular page is located deep into the web site users may not get quick response. It consumes server’s time, client’s time and more power. It takes more bandwidth. Along with this, too many transactions will be entered into the Log File which takes server’s more memory space. To overcome these problems, a novel approach is proposed which helps in providing the decision about popularity of the web page based on Parameter grading. The parameters can be classified into subjective and objective. The subjective parameters include level of web page, number of backward links to the web page. The objective parameters include frequency and utility.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The Web Page Grader guides website designers/administrators to evaluate the web page by collecting various statistics from the Log file of the server and knowing the structure of the website. Every request of user for web information will be stored in the Log File. Along with statistics collected the structure of the web site plays a vital role. If the popular page is located deep into the web site users may not get quick response. It consumes server’s time, client’s time and more power. It takes more bandwidth. Along with this, too many transactions will be entered into the Log File which takes server’s more memory space. To overcome these problems, a novel approach is proposed which helps in providing the decision about popularity of the web page based on Parameter grading. The parameters can be classified into subjective and objective. The subjective parameters include level of web page, number of backward links to the web page. The objective parameters include frequency and utility.
Key concepts: Web log analysis software, Static web page, Web page, Computer science, World Wide Web, Page view, Web server, Backlink