Ranking Web Pages Using Cosine Similarity Measure

The work presented in this paper throws light on various models of Information Retrieval and proposed an approach to rank web pages using document clustering on the basis of content similarity. The paper presents a method where the content of the documents are matched on the basis of the query and thereby the most similar documents are clustered together for the ranking process. The given approach overall reduces the computation complexity and help in retrieving and ranking the most relevant pages in less amount of time.