A Hybrid GA-FF based Ranking Method for Reorganizing Website Structure
Santosh Kumar, Harsh Kumar Singh, Bobby Tripathi · 2023
Today we live in a developing era, where we all have access to the internet and depend on it to collect various information in our daily life. As we know the Internet is a very vast topic, which is a collection of various websites, and its size is increasing day by day that it becomes hard for users to differentiate between real and duplicate content present on the websites. It is a challenging task for users to search for significant and required data from such a huge dataset of information present over the internet. When a person searches for any information or site the information that is on the top are those which are most viewed or top rated, but some sites are underrated but the content area is worth viewing and using. This paper aims to reorganize the website using a hybrid metaheuristic optimization algorithm GA and FF to prioritize web pages for reorganizing the websites. Experimentally it has been seen that the proposed hybrid approach is able to get better quality web pages in comparison to several existing approaches proposed in the literature. It will help in enhancing the user’s experience on websites.