Published Paper Details:

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 relevant and required information from such a huge source 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 Metaheuristics optimization in a way that the top searches will be those whose content is more relevant to the searches. Metaheuristic algorithms will be used to extract useful information from the literature. It will help in recommending sites from different web organizations. It will help in improving the user's experience on websites.