Published Paper Details:

There is a massive size of information present in the system of web pages on the web. So, when any user requests a query, a large volume of search outcomes having different web links matching to the user's query are produced. Out of produced results, only some are appropriate while the remaining are inappropriate. The search engines calculate the significance of a web page by page ranking algorithms. There are smart crawlers available which are automated scripts used for fetching data from the web and allowed to store in databases in pretty formatted manner. Later link is acknowledged and a tree like structures are observed which then defines a page or website strength on the web. This paper discusses determining and implementing different ways to increase the chance of finding a good listing. This will improve the understanding of the usage and its technique in a very practical manner. The search task is performed based on keyword research where popular words and phrases entered by the users in the search engine are used to identify the rank. This gives improved understanding of how high the demand is for certain keywords and how tough it would be to compete for those terms in the search results, contributing some direction to optimization efforts. This gives improved understanding of certain keywords demand and how tough it would be competing through these keywords in the search engine, providing certain ways in optimisation.