Design and Implementation of Novel Techniques for Content-Based Ranking of Web Documents

All of the valuable information related to different domains is available in the form of hypertext in different web resources. A search engine provides a medium to retrieve this information according to the need of the user. There are various search engines available such as Google, Alta Vista, Yahoo, etc., which provide an interface to access the web resources listing the search results according to the most relevant. In this chapter, a new technique is suggested that takes the search result of the Google search engine and tries to rearrange the search results in increasing order according to the relevancy with the search query. Normalized term frequency of the keywords lying in the particular web documents is used to calculate the rank of a web page.