Developing an Approach for Hyperlink Analysis With Noise Reduction Using Web Structure Mining
With the huge volume of web pages that exist in today's world, search engines play a vital role in the current Internet. But even if they allow finding relevant pages for any search topic, nowadays the number of results returned is often too big to be carefully explored. The need of the users varies, so that what may be interesting for one may be completely irrelevant to another. Ranking the returned webpage's such that the useful ones appear in the top of the ranked list is a critical task in the web information retrieval. The role of ranking algorithms is thus crucial, select the pages that are most likely to satisfy the user's need, and bring them in the top positions.