A new approach to ranking algorithm - Custom Personalized Searching

WWW is a huge collection of information and most of the time people are engaged with it in order to retrieve different types of information. People want to get accurate and appropriate data at the top of search results in a user friendly manner. People also want to get a personal space over the internet when they are browsing on web, from this arises a need of personalization of the search history. Thus there is a need of a highly efficient and effective ranking algorithm that provides search results according to user preferences. In this paper we have proposed a new approach which we call CUSTOM PERSONALISED SEARCHING. In this approach first we will use Page Rank algorithm, then social signals to rank the pages then we provide personalization by creating individual search history for each user on the browser and here we have also focused on the search results to get customized according to the user demand. We have also focused on parameters like page authority and domain authority.