Reducing Duplicate Content Using XXHASH Algorithm

Rahul Mahajan, Dr. S. K. Gupta, Rajeev Bedi

Abstract: Users of World Wide Web utilize search engines for information retrieval in web as search engines play a vital role in finding information on the web. With the rapid growth of information and the explosion of Web pages from the World Wide Web, it gets harder for search engines to retrieve the information relevant to a user. However, the performance of a web search is greatly affected by flooding of search results with information that is redundant in nature. Removing redundant content is an important data processing operation in search engines and other web applications. The existing architecture of WWW uses URL to identify web pages. A large fraction of the URLs on the web contain duplicate (or near-duplicate) content. Web crawlers rely on URL normalization in order to identify equivalent URLs, which link to the same web pages. Duplicate URLs have brought serious troubles to the whole pipeline of a search engine, from crawling, indexing, to result serving. De-duping URLs is an extremely important problem for search engines, since all the principal functions of a search engine, including crawling, indexing, ranking, and presentation, are adversely impacted by the presence of duplicate URLs. In this we have proposed a new technique for reducing duplicate content during web crawling and saving only unique pages in the database.

Keywords: Duplicate, Duplicate Content, Normalization, Web, Web Crawler