A Webpage Ranking Search Engine with SEO Suggesters
Shivani Dubey, Vikas Singhal, Ajay Kumar Sahu, Amit Kumar Singh, Kushal Singh, Ujjwal Kumar
Department of information Technology
Greater Noida Institute of Technology(Engineering Institute), Greater Noida, India
e-mail: aksingh1109@gmail.com
Abstract—Search engines have become an integral part of our daily lives due to the exponential growth of the internet. The ability of a search engine to provide users with relevant and reliable information depends on the quality of its search results. In this paper, we introduce a new search engine that integrates webpage ranking with SEO suggesters. Our search engine takes into account essential ranking factors, such as keyword relevance, page authority, and link popularity, to improve webmasters’ online visibility and search engine rankings. Our advanced algorithms use machine learning, natural language processing, and data mining techniques to analyse and evaluate webpages comprehensively. By considering multiple ranking factors, we can provide accurate and meaningful search results to users. Additionally, we have developed SEO suggesters that offer practical recommendations to webmasters to enhance their webpage's performance in search engine rankings. To evaluate the effectiveness of our search engine, we conducted experiments on a diverse dataset of webpages across multiple domains. A comprehensive comparison was performed against existing search engines to assess the ranking accuracy and relevance of our system. The results clearly demonstrate that our search engine outperforms the competition, showcasing its ability to deliver highly relevant search results and provide valuable insights into the factors influencing webpage rankings.Our research contributes to the field of search engine optimization by offering an innovative solution that combines webpage ranking algorithms and SEO suggesters. This integrated approach not only enhances the visibility of webpages but also empowers webmasters with actionable strategies for optimizing their online presence. Future work will focus on incorporating user feedback and integrating our search engine with existing popular search engines to further improve its performance and usability.
Keywords -Webpage ranking, search engine optimization, SEO suggesters
