Evolutionary Learning Search Engine

Search engine algorithms work by taking the important elements of a web page which includes the title of the page, the content of the page, and keyword density. By using these key elements, search engines use their proprietary algorithms to come up with a ranking for each web page such that users can get most relevant results. Each search engine’s algorithm is unique, so a top ranking on Yahoo! does not guarantee a prominent ranking on Google, and vice versa. The aim of this study is to develop a search engine mainly for handling programming related queries based on Evolutionary Learning. This paper also focuses on feature snippet as an add on for displaying source code for relevant code search. The proposed system works on a plethora of domains including machine learning and big data analytics for improving the search results and refining them.