Page Ranking Algorithm Based on Counts of Link Hits (PRCLH): An Implementation

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Mining of World Wide Web (WWW) data encounters many new challenges with increased amount of information on data repository. The search engines play vital role for retrieving the required information from huge information. Now-a-days, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users with good search results based on special search strategies. One of the key components which ensure the acceptance of web search service is the web page ranker a component which is said to have been the main contributing factor of Google. This paper discusses the page ranking algorithms based on contents, structures and usages in web mining.

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